Digital Conversion on the Way to Industry 4.0
Selected Papers from ISPR2020, September 24-26, 2020 Online - Turkey
1st Edition
Published on 25. October 2020
XXVII, 1018 pages
978-3-030-62784-3 (ISBN)
Description
This book presents the proceedings from the International Symposium for Production Research 2020. The cross-disciplinary papers presented draw on research from academics and practitioners from industrial engineering, management engineering, operational research, and production/operational management. It explores topics including:
· computer-aided manufacturing;
Industry 4.0 applications; simulation and modeling big data and analytics; flexible manufacturing systems; decision analysis quality management industrial robotics in production systems information technologies in production management; and optimization techniques.
Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics,and practitioners in the field of production and operation engineering.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XXVII, 1018 p. 397 illus., 314 illus. in color.
File size
105,45 MB
ISBN-13
978-3-030-62784-3 (9783030627843)
DOI
10.1007/978-3-030-62784-3
Schweitzer Classification
Other editions
Additional editions
Numan M. Durakbasa | M. Günes Gençyılmaz
Digital Conversion on the Way to Industry 4.0
Selected Papers from ISPR2020, September 24-26, 2020 Online - Turkey
Book
10/2020
Springer
€213.99
Shipment within 7-9 days
Persons
Dr. Gunes Gencyilmaz is a professor in the Department of Industrial Engineering at Istanbul Aydın University. Previously he chaired the Department of Production Management (1980-2000) and was the director of Center for Production Research (1980-2000) at Istanbul University. He was the Head of Department of Management (2000-2010) and dean (2004-2009) at the Istanbul Kultur University. He is the graduate of Istanbul Technical University with a master's degree in Mechanical Engineering (1959-1964), He completed a specialization program on operations research (1971-1973) at Federal Institute of Technology (ETH) Zürich. He holds a PhD degree on Production Management from Istanbul University (1973). As a researcher, he was at Cornell University (1996); Operational Research Department, British Gas Corporation (HQ), London, UK (1973-1975) and Technical University of Munich, Institute for Statistics and Applied Mathematics (1980-1981).
His current research interests include Industry 4.0, Modeling, Decision Analysis, Artificial Intelligence, Meta-Heuristics, and Production Systems
He has organized numerous symposiums and conferences on production research, SMEs and productivity. He is the editor of 18 conference and symposium books. He served as an advisor in industry over the years. He managed several system projects of the Istanbul metropolitan municipality in the past.
He has been the advisor of numerous master's and Ph.D thesis students. He is a member of several scientific societies. Currently, his Google Scholar Citation score is 1360. He holds scholarships and grants from Federal Institute of Technology Zürich (ETH), NATO System Sciences Division and the Alexander von Humboldt Foundation.
Prof. Dr. Numan M. Durakbasa is head of the research group "Industrial Metrology and Adaptronic Systems" of the Institute for Production Engineering and Photonic Technologies and head of the "Precision Metrology and Nanotechnology Laboratory" atTU Wien (Vienna University of Technology). He is Austrian expert in the International Technical Committee ISO/TC 213 "Geometrical Product Specifications and Verification", as well as ISO/TC 176 "Quality Management and Quality Assurance", vice chairman of the Austrian Standard Committee ON-K 031 "Geometrical Product Specifications and Verification, Technical Product Documentation"; expert in the Austrian Standard Committees "Quality Management Systems" and "Nano Technologies and Nano materials". Professor Durakbasa is long-standing member of the Executive Committee of ÖGMA (Austrian Society for Measurement and Automatic Control), since 2016 GMAR (Society for Measurement, Automation and Robotics), Austrian delegate to the General Council of the International Measurement Confederation - IMEKO and expert in the TCs (TC 14, TC 7). He is also Founder member of Austrian "Forum Qualitäts-Wissenschaften - FQW (Forum Quality Sciences". Professor Durakbasa has long-standing international practical experience as a "Quality Systems Auditor" and in the training and certification of quality professionals. He has experience in the development and implementation of management systems, in accreditation of inspection bodies and certification bodies for certification of management systems.
Research Interests
His major research areas are: interchangeable manufacturing, precision engineering, precision metrology, geometrical product specification and verification (GPS), industrial engineering, micro- and nanotechnology, co-ordinate metrology, Industry 4.0, telepresence, teleoperation, integrated management, quality management, environmental management, industrial metrology, measurement techniques, calibration, certification, assessment, inspection, and standardization.
Publications
12 books and more than 500 scientific papers
Content
1 - Foreword [Seite 6]
2 - Preface [Seite 7]
3 - Key Technology Roadmap In Production of Future - Industry 4.0 [Seite 10]
4 - Organization [Seite 12]
4.1 - Editors [Seite 12]
4.2 - Co-editors [Seite 12]
4.3 - Honorary Chairs [Seite 12]
4.4 - Symposium Chairs [Seite 12]
4.5 - International Honorary Committee [Seite 13]
4.6 - Organizing Committee [Seite 13]
4.7 - This book is prepared for publishing by [Seite 13]
4.8 - Scientific Committee [Seite 13]
4.9 - Reviewers [Seite 16]
5 - Contents [Seite 18]
6 - Big Data and Analytics [Seite 27]
7 - A Hybrid Recommender System: Uniqueness of Choices by Using Machine Learning Technique [Seite 28]
7.1 - Abstract [Seite 28]
7.2 - 1 Introduction [Seite 28]
7.3 - 2 Statement of the Problem [Seite 29]
7.3.1 - 2.1 Definitions [Seite 30]
7.3.1.1 - 2.1.1 Vocabulary [Seite 30]
7.3.1.2 - 2.1.2 Concepts [Seite 31]
7.4 - 3 Proposed Recommender System Algorithm [Seite 31]
7.5 - 4 Results and Discussions [Seite 34]
7.6 - 5 Conclusions [Seite 37]
7.7 - References [Seite 37]
8 - IoT Based Real-World Emission Analysis of Motorcycles [Seite 39]
8.1 - Abstract [Seite 39]
8.2 - 1 Introduction [Seite 40]
8.3 - 2 IOT Connection of the Emission Measuring Device [Seite 41]
8.4 - 3 Experimental Setup [Seite 43]
8.5 - 4 Result of the Emission Monitoring [Seite 44]
8.6 - 5 Conclusion [Seite 47]
8.7 - Acknowledgement [Seite 48]
8.8 - References [Seite 48]
9 - Decision Making [Seite 49]
10 - Using Best Worst Method for Location Selection of Piezoelectric Tiles [Seite 50]
10.1 - Abstract [Seite 50]
10.2 - 1 Introduction [Seite 50]
10.3 - 2 Best Worst Method as a Novel Multi-Criteriia Decision Making [Seite 51]
10.4 - 3 The Proposed Methodology [Seite 52]
10.4.1 - 3.1 Determination of the Criteria Set [Seite 52]
10.4.2 - 3.2 Computation of Weights and Application Results [Seite 54]
10.5 - 4 Conclusions [Seite 56]
10.6 - References [Seite 57]
11 - Facility and Capacity Management [Seite 58]
12 - Site Selection for a Training Centre Focused on Industry 4.0 by Using DEMATEL and COPRAS [Seite 59]
12.1 - Abstract [Seite 59]
12.2 - 1 Introduction [Seite 60]
12.3 - 2 Brief Description About the Digital Transformation Training and Practice Center [Seite 61]
12.4 - 3 Site Selection for the Digital Transformation Training and Practice Center [Seite 63]
12.4.1 - 3.1 DEMATEL as the Decision-Making Technique and Determining the Criteria to Be Used in Site Selection [Seite 64]
12.4.2 - 3.2 COPRAS as the Decision-Making Technique and Evaluation of Site Selection Alternatives [Seite 67]
12.5 - 4 Conclusion [Seite 70]
12.6 - Acknowledgement [Seite 71]
12.7 - References [Seite 71]
13 - Fuzzy Logic [Seite 73]
14 - Facility Location for Unmanned Aerial Vehicle Base Stations to Provide Uninterrupted Mobile Communication After Earthquakes [Seite 74]
14.1 - Abstract [Seite 74]
14.2 - 1 Introduction [Seite 74]
14.3 - 2 Weber Problem [Seite 76]
14.4 - 3 Methodology [Seite 77]
14.4.1 - 3.1 Determination of Distance in Probabilistic Methods [Seite 77]
14.4.2 - 3.2 Determination of Demand in Probabilistic Methods [Seite 78]
14.4.3 - 3.3 Fuzzy C-Means [Seite 78]
14.4.4 - 3.4 Fuzzy C-Means - Center of Gravity (FCM- COG) [Seite 79]
14.5 - 4 Case Study [Seite 80]
14.6 - 5 Results [Seite 80]
14.7 - 6 Conclusion [Seite 81]
14.8 - References [Seite 81]
15 - Healthcare Systems and Management [Seite 83]
16 - A Guide Application in Case of Emergency Health: A Case of Turkey [Seite 84]
16.1 - Abstract [Seite 84]
16.2 - 1 Introduction [Seite 84]
16.3 - 2 Literature Review [Seite 85]
16.3.1 - 2.1 World Healthcare System [Seite 85]
16.3.2 - 2.2 Canadian Healthcare System [Seite 86]
16.3.3 - 2.3 Turkish Healthcare System [Seite 88]
16.4 - 3 Methodology [Seite 90]
16.4.1 - 3.1 Turkey's Mobile Health Application [Seite 90]
16.4.2 - 3.2 Needs Analysis [Seite 90]
16.4.3 - 3.3 Survey Questions and Analysis [Seite 91]
16.5 - 4 Application Execution [Seite 93]
16.5.1 - 4.1 Testing Process [Seite 94]
16.6 - 5 Conclusion [Seite 95]
16.7 - References [Seite 95]
17 - Parametric Design and Modeling of 3D Printed Prosthetic Finger [Seite 99]
17.1 - Abstract [Seite 99]
17.2 - 1 Introduction [Seite 99]
17.3 - 2 Design of the Model [Seite 100]
17.3.1 - 2.1 Mechanical Design [Seite 100]
17.3.2 - 2.2 Parametric Design [Seite 103]
17.3.3 - 2.3 Assembling Mechanism [Seite 105]
17.4 - 3 Analysis and Results [Seite 106]
17.5 - 4 Conclusion [Seite 108]
17.6 - References [Seite 108]
18 - Industrial Applications [Seite 110]
19 - Conceptual Design and Fluid Structure Interaction Analysis of a Solar Powered High-Altitude Pseudo-Satellite (HAPS) UAV Wing Model [Seite 111]
19.1 - Abstract [Seite 111]
19.2 - 1 Introduction [Seite 111]
19.3 - 2 Competitive Study [Seite 113]
19.4 - 3 Wing Loading Estimation [Seite 114]
19.5 - 4 Airfoil and Wing Geometry Selection [Seite 115]
19.5.1 - 4.1 Airfoil Selection [Seite 115]
19.5.2 - 4.2 Wing Geometry [Seite 116]
19.6 - 5 Fluid Structure Interaction Analysis [Seite 118]
19.6.1 - 5.1 Wing Model [Seite 118]
19.6.2 - 5.2 Simulation and Analysis of the Wing Flow Field [Seite 119]
19.6.3 - 5.3 Structural Analysis [Seite 121]
19.7 - 6 Conclusions [Seite 122]
19.8 - Acknowledgment [Seite 122]
19.9 - References [Seite 122]
20 - Design and Development of Drum Granulator [Seite 124]
20.1 - Abstract [Seite 124]
20.2 - 1 Introduction [Seite 124]
20.3 - 2 Material and Method [Seite 125]
20.3.1 - 2.1 Material [Seite 125]
20.3.2 - 2.2 Method [Seite 125]
20.3.3 - 2.3 Testing of the Drum Granulator [Seite 128]
20.4 - 3 Results and Discussion [Seite 130]
20.4.1 - 3.1 Design Process Results [Seite 130]
20.4.2 - 3.2 Analysis Process Results [Seite 130]
20.5 - 4 Conclusion [Seite 131]
20.6 - References [Seite 132]
21 - Forecasting Electricity Generation and Shares by Energy Resources by Time Series Analysis: A Case-Study of Turkey [Seite 133]
21.1 - Abstract [Seite 133]
21.2 - 1 Introduction [Seite 133]
21.3 - 2 Literature Review [Seite 134]
21.4 - 3 Methodology and Modelling [Seite 135]
21.5 - 4 Conclusion [Seite 138]
21.6 - References [Seite 138]
22 - Fused Filament Fabrication of Ceramic Components for Home Use [Seite 139]
22.1 - Abstract [Seite 139]
22.2 - 1 Introduction [Seite 140]
22.2.1 - 1.1 Objective and Research Question [Seite 141]
22.2.2 - 1.2 Relevance of the Question [Seite 141]
22.2.3 - 1.3 Methods [Seite 142]
22.3 - 2 Fused Filament Fabrication [Seite 142]
22.3.1 - 2.1 Process [Seite 142]
22.3.2 - 2.2 Extrusion Methods [Seite 143]
22.3.3 - 2.3 Ceramics [Seite 143]
22.3.4 - 2.4 Binder [Seite 143]
22.3.5 - 2.5 Debinding [Seite 144]
22.3.6 - 2.6 Sintering [Seite 144]
22.3.7 - 2.7 Parameters [Seite 145]
22.3.8 - 2.8 Known Problem Areas in the Process [Seite 145]
22.4 - 3 Market Situation [Seite 146]
22.4.1 - 3.1 Filaments [Seite 146]
22.4.2 - 3.2 Industrial Providers [Seite 147]
22.5 - 4 Experimental [Seite 148]
22.5.1 - 4.1 Print [Seite 148]
22.5.2 - 4.2 Debinding [Seite 149]
22.5.3 - 4.3 Sintering [Seite 150]
22.5.4 - 4.4 Results [Seite 150]
22.6 - 5 Discussion [Seite 151]
22.7 - 6 Conclusions [Seite 153]
22.8 - References [Seite 153]
23 - Fused Filament Fabrication of Metallic Components for Semi-professional and Home Use [Seite 158]
23.1 - Abstract [Seite 158]
23.2 - 1 Introduction [Seite 158]
23.3 - 2 Methods [Seite 160]
23.4 - 3 Theory [Seite 160]
23.5 - 4 Empirical Market Research [Seite 161]
23.6 - 5 Experimental [Seite 162]
23.7 - 6 Discussion [Seite 165]
23.8 - References [Seite 165]
24 - Increasing of Stud Welding Efficiency in the Body Shop [Seite 168]
24.1 - Abstract [Seite 168]
24.2 - 1 Description of the Used Stud Welding Technologies [Seite 168]
24.2.1 - 1.1 Arc Welding of Bolts with Stroke [Seite 169]
24.2.2 - 1.2 Point-Contact Welding of Studs [Seite 170]
24.2.3 - 1.3 Welding of Studs in a Magnetic Field [Seite 170]
24.3 - 2 Automation and Robotization of the Process [Seite 171]
24.4 - 3 Solution of a Part of the Welding Line Using the Process Simulate Software [Seite 172]
24.4.1 - 3.1 Description of the Welding Line [Seite 172]
24.4.2 - 3.2 Dynamic Simulation [Seite 173]
24.4.3 - 3.3 Setting the Kinematics of the Line Parts [Seite 175]
24.4.4 - 3.4 Solution Simulation [Seite 176]
24.4.5 - 3.5 Design of Welding Line Optimization [Seite 177]
24.5 - 4 Conclusions [Seite 178]
24.6 - Acknowledgment [Seite 178]
24.7 - References [Seite 178]
25 - Measurements of a Finished Garment Using 3D Laser Image Processing [Seite 180]
25.1 - Abstract [Seite 180]
25.2 - 1 Introduction [Seite 180]
25.3 - 2 Related Works [Seite 181]
25.4 - 3 Measurement Strategy [Seite 182]
25.4.1 - 3.1 Key Aspects of Quality for the Customer (https://www.inspection-for-industry.com/finished-goods-inspection.html) (2020) [Seite 182]
25.4.2 - 3.2 Surface Form [Seite 182]
25.5 - 4 Edge Detection [Seite 183]
25.5.1 - 4.1 Main Steps in Edge Detection [Seite 184]
25.5.2 - 4.2 Image Smoothing [Seite 185]
25.5.3 - 4.3 Edges and Boundaries [Seite 186]
25.5.4 - 4.4 Image Segmentation Using Edge Detection [Seite 186]
25.5.5 - 4.5 Using the Hough Transform [Seite 187]
25.5.6 - 4.6 Segmentation Methods [Seite 188]
25.6 - 5 Measurement of Jacket and Conclusion [Seite 189]
25.6.1 - 5.1 Measurement by Using 3D Laser Scanner-Non-contact Blue Laser [Seite 189]
25.6.2 - 5.2 Measurement Through Two-Dimensional Image [Seite 190]
25.7 - 6 Conclusion [Seite 191]
25.8 - References [Seite 192]
26 - Porosity Measurement by X - Ray Computed Tomography: Different Porosity Analysis Application [Seite 193]
26.1 - Abstract [Seite 193]
26.2 - 1 Introduction [Seite 193]
26.3 - 2 Experimental Investigation [Seite 197]
26.4 - 3 Conclusions [Seite 202]
26.5 - Acknowledgment [Seite 203]
26.6 - References [Seite 203]
27 - Industrial Robotics in Production Systems and Industrial Engineering [Seite 204]
28 - Accuracy Improvement and Process Flow Adaption for Robot Machining [Seite 205]
28.1 - Abstract [Seite 205]
28.2 - 1 Introduction [Seite 205]
28.3 - 2 Industrial Robots and CNC Machine Tools [Seite 206]
28.4 - 3 Calibration and Offline Compensation [Seite 208]
28.4.1 - 3.1 Calibration [Seite 208]
28.4.2 - 3.2 Offline Compensation [Seite 209]
28.5 - 4 Hardware and Software Adaption [Seite 212]
28.5.1 - 4.1 Existing Station and Production Process [Seite 212]
28.5.2 - 4.2 Enhancements for Automated Process Environment [Seite 213]
28.6 - 5 Conclusions [Seite 214]
28.7 - References [Seite 214]
29 - Artificial Neural Networks Based Place Categorization [Seite 217]
29.1 - Abstract [Seite 217]
29.2 - 1 Introduction [Seite 217]
29.3 - 2 Supervised Learning [Seite 218]
29.4 - 3 Convolutional Neural Networks [Seite 218]
29.5 - 4 Implemented Algorithms [Seite 220]
29.5.1 - 4.1 Naïve Bayes Filter [Seite 220]
29.5.2 - 4.2 Multinomial Logistic Regression [Seite 220]
29.5.3 - 4.3 Support Vector Machines [Seite 221]
29.6 - 5 Results and Discussion [Seite 222]
29.7 - 6 Conclusion [Seite 223]
29.8 - References [Seite 224]
30 - Logic Control of an Industrial Automation Cell with ROS as Part of SMEs and Industry 4.0 Interconnection [Seite 226]
30.1 - Abstract [Seite 226]
30.2 - 1 Introduction [Seite 227]
30.2.1 - 1.1 State of the Art [Seite 227]
30.2.2 - 1.2 Related Work [Seite 228]
30.2.3 - 1.3 Problem Definition [Seite 228]
30.3 - 2 Open Source Process Logic [Seite 229]
30.3.1 - 2.1 Basic Concepts [Seite 229]
30.3.2 - 2.2 Robot Modeling [Seite 230]
30.3.3 - 2.3 Motion Planning [Seite 232]
30.4 - 3 Automation Cell [Seite 233]
30.4.1 - 3.1 Components of Process Control [Seite 233]
30.4.2 - 3.2 Robot Arm System [Seite 233]
30.4.3 - 3.3 Model/Visualization/Control GUI [Seite 234]
30.4.4 - 3.4 Software Controller/Simulation/Robot Controller [Seite 235]
30.5 - 4 Conclusions [Seite 236]
30.6 - 5 Next Steps [Seite 236]
30.7 - References [Seite 237]
31 - Robot Retrofitting by Using LinuxCNC Complemented with Arduino/RaspberryPI [Seite 238]
31.1 - Abstract [Seite 238]
31.2 - 1 Introduction [Seite 239]
31.2.1 - 1.1 The Industrial Automation Need, Yesterday, Today, Tomorrow [Seite 239]
31.2.2 - 1.2 Yesterday, the Puma560 Milestone [Seite 240]
31.2.3 - 1.3 The "Engelberger Robotics Award" [Seite 240]
31.2.4 - 1.4 Today Industrie 4.0 [Seite 240]
31.2.5 - 1.5 Tomorrow, Automation Robotic Autonomation [Seite 241]
31.3 - 2 LinuxCNC [Seite 241]
31.3.1 - 2.1 LinuxCNC History and Strong Current Use [Seite 241]
31.3.2 - 2.2 LinuxCNC Main Idea and Possibilities Foreseen in the Original Concept [Seite 241]
31.3.3 - 2.3 Components [Seite 242]
31.3.4 - 2.4 User Interface [Seite 242]
31.3.5 - 2.5 Hardware Abstraction Layer [Seite 243]
31.3.6 - 2.6 HAL Concepts (LinuxCNC, 2020) [Seite 243]
31.3.7 - 2.7 HAL Tools [Seite 243]
31.3.8 - 2.8 Examining the HAL [Seite 244]
31.3.9 - 2.9 Loading Components [Seite 244]
31.3.10 - 2.10 Robot Geometry: GENSERKINS [Seite 245]
31.3.11 - 2.11 Planning Movement: MOTMOD [Seite 245]
31.3.12 - 2.12 Controlling the Step Motors: STEPGEN [Seite 245]
31.3.13 - 2.13 Bringing Signals to the Real World: HAL_PARPORT [Seite 246]
31.3.14 - 2.14 Other Component, DDT [Seite 247]
31.3.15 - 2.15 A Real World Controller [Seite 247]
31.4 - 3 Arduino/Raspberry PI, (and Other Similar Hardware) [Seite 248]
31.5 - 4 Modern Motors, Design and Control of Special Brushless Motors [Seite 249]
31.6 - 5 Advantages of Quickly Switching from: The Real World to the Virtual World (Emulator) [Seite 249]
31.7 - 6 Conclusions [Seite 250]
31.8 - 7 Next Steps [Seite 251]
31.9 - References [Seite 251]
32 - Parameter Optimization for the 3D Print of Thermo-Plastic Pellets with an Industrial Robot [Seite 252]
32.1 - Abstract [Seite 252]
32.2 - 1 Introduction [Seite 253]
32.3 - 2 Problem Description [Seite 253]
32.4 - 3 Materials and Methods [Seite 254]
32.5 - 4 Practical Realization [Seite 255]
32.6 - 5 Print Results [Seite 256]
32.7 - 6 Alternative Pellet Extruders [Seite 257]
32.8 - 7 Design of New Pellet Extruder [Seite 259]
32.9 - 8 Conclusion [Seite 261]
32.10 - References [Seite 262]
33 - Industry 4.0 Applications [Seite 264]
34 - A Comparative Sectoral Analysis of Industry 4.0 Readiness Levels of Turkish SMEs [Seite 265]
34.1 - Abstract [Seite 265]
34.2 - 1 Introduction [Seite 266]
34.3 - 2 Methodology [Seite 268]
34.4 - 3 Implementation and Results [Seite 268]
34.5 - 4 Conclusions [Seite 275]
34.6 - Acknowledgment [Seite 276]
34.7 - References [Seite 276]
35 - A Decision Support Tool for Classification of Turkish SMEs' Industry 4.0 Score Levels [Seite 278]
35.1 - Abstract [Seite 278]
35.2 - 1 Introduction [Seite 279]
35.3 - 2 Methodology [Seite 280]
35.3.1 - 2.1 Data Classification [Seite 280]
35.3.2 - 2.2 Performance Evaluation [Seite 281]
35.3.3 - 2.3 Estimation Methodologies [Seite 282]
35.4 - 3 Implementation and Results [Seite 283]
35.4.1 - 3.1 Data Description and Preprocessing [Seite 283]
35.4.2 - 3.2 Hyperparameter Tuning [Seite 284]
35.5 - 4 Results [Seite 285]
35.5.1 - 4.1 Decision Support Tool [Seite 285]
35.6 - 5 Conclusions [Seite 286]
35.7 - Acknowledgment [Seite 286]
35.8 - Appendix-I [Seite 287]
35.9 - Appendix-II [Seite 287]
35.10 - Appendix-III [Seite 288]
35.11 - Appendix-IV [Seite 288]
35.12 - Appendix-V [Seite 289]
35.13 - References [Seite 289]
36 - Adaptation of CNC Machine Tools in Educational Center That Matches the Concept of Industry 4.0 [Seite 291]
36.1 - Abstract [Seite 291]
36.2 - 1 Introduction [Seite 291]
36.3 - 2 Problem Analysis [Seite 292]
36.4 - 3 Case Study [Seite 297]
36.5 - 4 Conclusions [Seite 301]
36.6 - References [Seite 301]
37 - Digital Maturity Assessment Model for Smart Agriculture [Seite 303]
37.1 - Abstract [Seite 303]
37.2 - 1 Introduction [Seite 303]
37.3 - 2 Smart Agriculture [Seite 305]
37.4 - 3 Methodology [Seite 305]
37.4.1 - 3.1 Determination of Criteria Set [Seite 306]
37.4.2 - 3.2 Determination of Weights [Seite 309]
37.4.3 - 3.3 Application [Seite 312]
37.5 - 4 Conclusions [Seite 313]
37.6 - References [Seite 314]
38 - Do We Need Synchronization of the Human and Robotics to Make Industry 5.0 a Success Story? [Seite 316]
38.1 - Abstract [Seite 316]
38.2 - 1 Introduction [Seite 316]
38.3 - 2 Background [Seite 317]
38.3.1 - 2.1 Automation of Work [Seite 318]
38.3.2 - 2.2 Collaborative Robots (Cobots) [Seite 319]
38.3.3 - 2.3 Robocollaborators (Coboters) [Seite 320]
38.4 - 3 Systems and Theories [Seite 320]
38.4.1 - 3.1 Socio-Technical Methodology [Seite 320]
38.4.2 - 3.2 A Design Method: Reinventing Jobs [Seite 321]
38.4.3 - 3.3 Synchronising Cobots and Coboters [Seite 323]
38.5 - 4 An Industrial Proposal [Seite 323]
38.6 - 5 Conclusions [Seite 324]
38.7 - References [Seite 325]
39 - Evaluation of the Challenges of Companies in Industry 4.0 Transformation by GRA Method [Seite 326]
39.1 - Abstract [Seite 326]
39.2 - 1 Introduction [Seite 326]
39.3 - 2 Challenges of Companies in Industry 4.0 Transformation [Seite 327]
39.4 - 3 Methodology [Seite 331]
39.5 - 4 Data Analysis [Seite 333]
39.6 - 5 Conclusions [Seite 335]
39.7 - References [Seite 336]
40 - Industry 4.0 in Educational Process [Seite 338]
40.1 - Abstract [Seite 338]
40.2 - 1 Introduction [Seite 338]
40.3 - 2 Industry Requirements [Seite 339]
40.3.1 - 2.1 Requirements for the Area of Production Systems [Seite 340]
40.3.2 - 2.2 Qualification and Skills for Industry [Seite 341]
40.4 - 3 Implementation Phase [Seite 342]
40.4.1 - 3.1 Education in Production Systems [Seite 342]
40.4.2 - 3.2 Educational Concept [Seite 343]
40.5 - 4 Conclusions [Seite 345]
40.6 - Acknowledgment [Seite 345]
40.7 - References [Seite 345]
41 - Industry 4.0 vs. Society 5.0 [Seite 347]
41.1 - Abstract [Seite 347]
41.2 - 1 Introduction [Seite 347]
41.3 - 2 Industry 4.0 and Society 5.0 Joint Parameters [Seite 348]
41.3.1 - 2.1 Big Data [Seite 348]
41.3.2 - 2.2 Artificial Intelligence [Seite 349]
41.3.3 - 2.3 Internet of Things (IoT) [Seite 350]
41.3.4 - 2.4 Cloud Computing [Seite 350]
41.3.5 - 2.5 Human [Seite 351]
41.4 - 3 Industry 4.0 [Seite 351]
41.5 - 4 Society 5.0 [Seite 353]
41.6 - 5 Industry 4.0 vs. Society 5.0 [Seite 354]
41.7 - 6 Conclusions and Related Work [Seite 356]
41.8 - References [Seite 357]
42 - Intelligent Design and Advanced Precision Metrology on the Geometrical Structure of Medical Needles Based on GPS and ISO Standards [Seite 360]
42.1 - Abstract [Seite 360]
42.2 - 1 Introduction [Seite 361]
42.3 - 2 Methods and Theoretical Parts [Seite 362]
42.3.1 - 2.1 Purpose of Using Glass Pre-fillable Syringe with Needle G27 [Seite 362]
42.3.2 - 2.2 Injection Application Technique of Needle G27 of Glass Pre-fillable Syringe [Seite 363]
42.3.3 - 2.3 Functional Requirements and Specifications [Seite 363]
42.3.4 - 2.4 Production Process and Geometrical Definition [Seite 363]
42.3.5 - 2.5 Geometrical Product Specifications [Seite 365]
42.3.6 - 2.6 Micro and Macro Geometrical Assessment Through Measurement Device [Seite 367]
42.4 - 3 Results [Seite 368]
42.5 - 4 Conclusion and Prospect [Seite 374]
42.6 - References [Seite 375]
43 - Social and Ethical Aspects of Automation [Seite 377]
43.1 - Abstract [Seite 377]
43.2 - 1 Introduction [Seite 377]
43.3 - 2 Automation [Seite 378]
43.3.1 - 2.1 Production 4.(5).0 [Seite 378]
43.3.2 - 2.2 Humans in Manufacturing Automation [Seite 380]
43.4 - 3 Ethics [Seite 381]
43.5 - 4 Social Aspects [Seite 382]
43.5.1 - 4.1 Robocollaborators [Seite 382]
43.5.2 - 4.2 Legal Questions [Seite 383]
43.6 - 5 Summary and Outlook [Seite 385]
43.7 - References [Seite 386]
44 - Social Transformation - Industry 4.0 [Seite 387]
44.1 - Abstract [Seite 387]
44.2 - 1 Industry 4.0 [Seite 387]
44.3 - 2 The Door to Change [Seite 388]
44.4 - 3 How Prepared Are We for Change? [Seite 390]
44.4.1 - 3.1 Technological Knowledge Level [Seite 391]
44.4.2 - 3.2 Technological Development [Seite 391]
44.4.3 - 3.3 Digital Transformation Agility [Seite 391]
44.5 - 4 Society 5.0 [Seite 393]
44.6 - 5 Project Management [Seite 394]
44.7 - 6 The Effects of Change on Project Management [Seite 394]
44.8 - 7 Conclusion and Evaluation [Seite 395]
44.9 - References [Seite 396]
45 - Strategic Model Proposal Related to IoT Applications in Disaster Management [Seite 397]
45.1 - Abstract [Seite 397]
45.2 - 1 Introduction [Seite 397]
45.3 - 2 Disaster Management [Seite 398]
45.4 - 3 IoT [Seite 398]
45.5 - 4 Strategic Model Proposal to Disaster Management with IoT [Seite 399]
45.6 - 5 Conclusions [Seite 401]
45.7 - References [Seite 402]
46 - Usage and Applications of the Swarm Robotics Concept at Industrial Level [Seite 403]
46.1 - Abstract [Seite 403]
46.2 - 1 Introduction [Seite 403]
46.3 - 2 Swarm Robotics [Seite 404]
46.4 - 3 Definition of the Problem [Seite 405]
46.5 - 4 Related Works [Seite 405]
46.6 - 5 Method [Seite 405]
46.7 - 6 Application [Seite 407]
46.8 - 7 Conclusion [Seite 410]
46.9 - Acknowledgments [Seite 411]
46.10 - References [Seite 411]
47 - Information Management [Seite 412]
48 - Design of a Database Management System for Movie Recommendation Related to the History of Industrial Engineering for Courses [Seite 413]
48.1 - Abstract [Seite 413]
48.2 - 1 Introduction [Seite 413]
48.3 - 2 Using Movies as Educational Tools [Seite 415]
48.4 - 3 Database Management and Suggestion Systems Developed for Movies [Seite 416]
48.5 - 4 Method [Seite 416]
48.5.1 - 4.1 A Database Management System that Associates Education Topics with Movies and Suggests a Course [Seite 417]
48.5.2 - 4.2 The Database Is Created with the Determined Keywords and/or Terms [Seite 417]
48.5.3 - 4.3 Associating Courses, Terms, and Films by Establishing a Database [Seite 417]
48.5.4 - 4.4 Connecting Database and C# [Seite 417]
48.5.5 - 4.5 Building the Application Structure [Seite 418]
48.6 - 5 Application [Seite 418]
48.6.1 - 5.1 SQLite [Seite 418]
48.7 - 6 Conclusions [Seite 420]
48.8 - References [Seite 423]
49 - Process Mining Research in Management Science and Engineering Fields: The Period of 2010-2019 [Seite 425]
49.1 - Abstract [Seite 425]
49.2 - 1 Introduction [Seite 425]
49.3 - 2 Literature Review [Seite 426]
49.4 - 3 Methodology [Seite 428]
49.4.1 - 3.1 Aim of the Study and Research Questions [Seite 428]
49.4.2 - 3.2 Bibliometric Study and Data Collection [Seite 428]
49.5 - 4 Results [Seite 429]
49.5.1 - 4.1 Main Findings of Descriptive Publication Results [Seite 429]
49.5.2 - 4.2 Distribution of Articles by Years [Seite 430]
49.5.3 - 4.3 Journal and Source Frequency and Productivity [Seite 430]
49.5.4 - 4.4 Author's Productivity [Seite 431]
49.5.5 - 4.5 Organizations and Countries Productivity [Seite 431]
49.5.6 - 4.6 Citation Results [Seite 433]
49.6 - 5 Discussions and Conclusions [Seite 433]
49.7 - References [Seite 435]
50 - Lean Production [Seite 438]
51 - Waiting as Waste in Lean Production Processes [Seite 439]
51.1 - Abstract [Seite 439]
51.2 - 1 Introduction [Seite 439]
51.3 - 2 Model Construction [Seite 441]
51.3.1 - 2.1 Scheduling and Waiting [Seite 441]
51.3.2 - 2.2 Effects of Reduction of Waiting Time [Seite 442]
51.4 - 3 Discussion - Case Study [Seite 443]
51.5 - 4 Summary and Conclusions [Seite 446]
51.6 - References [Seite 446]
52 - Logistics Management [Seite 448]
53 - A Critical Review of Quality Function Deployment (QFD) Tool Through Logistics Centre Development Projects [Seite 449]
53.1 - Abstract [Seite 449]
53.2 - 1 Introduction [Seite 449]
53.2.1 - 1.1 What Is the Aim of This Symposium Paper? [Seite 449]
53.2.2 - 1.2 How Do We Describe a Logistics Centre? [Seite 450]
53.2.3 - 1.3 What Is the Contribution of This Study in Regards with a Logistics Centre Development Project? [Seite 450]
53.3 - 2 Review and Assessment Framework for QFD Processes [Seite 451]
53.3.1 - 2.1 Data Gathering: Converting VoC into Input for QFD Processes [Seite 451]
53.3.2 - 2.2 Relativeness and Connectivity Integrity of QFD Inputs [Seite 453]
53.3.3 - 2.3 Priority Check and Ranking the QFD Inputs [Seite 454]
53.3.4 - 2.4 Improving the QFD Processes [Seite 455]
53.3.5 - 2.5 Interpretation of QFD Process Outputs [Seite 456]
53.3.6 - 2.6 Maximizing the Benefits of QFD While Get Rid of the Means that Hinder the Ultimate Success [Seite 457]
53.3.7 - 2.7 How We Have Applied the Phases of QFD Methodology in a Logistics Centre Development Project? [Seite 458]
53.4 - 3 Conclusions [Seite 459]
53.5 - References [Seite 459]
54 - Two-Phase Fuzzy C-Means and Genetic Algorithm for Food Distribution [Seite 461]
54.1 - Abstract [Seite 461]
54.2 - 1 Introduction [Seite 461]
54.3 - 2 Problem Definition [Seite 463]
54.4 - 3 Proposed Algorithm [Seite 463]
54.5 - 4 Results [Seite 465]
54.6 - 5 Conclusion [Seite 467]
54.7 - References [Seite 467]
55 - Optimization [Seite 469]
56 - Modelling and Optimization of Dissimilar Welding Between 304L and HSLA-X70 Using Response Surface Methodology [Seite 470]
56.1 - Abstract [Seite 470]
56.2 - 1 Introduction [Seite 470]
56.3 - 2 Design of Experiments [Seite 471]
56.4 - 3 Results and Discussion [Seite 473]
56.4.1 - 3.1 Statistical Analysis [Seite 473]
56.4.2 - 3.2 Regression Equations [Seite 474]
56.4.3 - 3.3 Effect of Welding Parameters on Surface Response Factors [Seite 475]
56.5 - 4 Optimization of Welding Conditions [Seite 475]
56.6 - 5 Conclusions [Seite 478]
56.7 - References [Seite 478]
57 - Proposing a Pre-emptive Resource Constrained Project Scheduling Problem (PRCPSP) Model to Optimize Manpower and Project Delivery Time (A Case Study) [Seite 480]
57.1 - Abstract [Seite 480]
57.2 - 1 Introduction and Literature Review [Seite 480]
57.3 - 2 Problem Definition [Seite 481]
57.4 - 3 Numerical Results and Case Study [Seite 485]
57.5 - 4 Conclusions and Further Research [Seite 487]
57.6 - References [Seite 487]
58 - Process Management [Seite 488]
59 - Improvements in Manufacturing Processes by Measurement and Evaluation Studies According to the Quality Management System Standard in Automotive Industry [Seite 489]
59.1 - Abstract [Seite 489]
59.2 - 1 Introduction [Seite 490]
59.3 - 2 Measurement Systems Analysis (MSA) [Seite 490]
59.4 - 3 Application of Quantitative MSA [Seite 491]
59.5 - 4 Application of Qualitative MSA [Seite 494]
59.6 - 5 Conclusions [Seite 497]
59.7 - References [Seite 497]
60 - Improving Business Processes of Human Resources Departments in Turkish Technic Inc. [Seite 499]
60.1 - Abstract [Seite 499]
60.2 - 1 Introduction [Seite 499]
60.3 - 2 L?terature Rev?ew [Seite 500]
60.4 - 3 Methodology [Seite 503]
60.4.1 - 3.1 Constraints [Seite 503]
60.4.2 - 3.2 Analysis and Research [Seite 503]
60.4.3 - 3.3 Main Design [Seite 507]
60.5 - 4 Conclus?ons [Seite 508]
60.6 - References [Seite 509]
61 - Improving Manufacturing Process of Mobile Recorder [Seite 510]
61.1 - Abstract [Seite 510]
61.2 - 1 Introduction [Seite 510]
61.3 - 2 Material and Method [Seite 512]
61.3.1 - 2.1 Design of the Interior and Exterior Case [Seite 512]
61.3.2 - 2.2 Steps for the Production of Conventional Mobile Recorder [Seite 512]
61.3.3 - 2.3 Production of Planned Mobile Recorder [Seite 513]
61.4 - 3 Results and Discussion [Seite 514]
61.5 - 4 Conclusions [Seite 517]
61.6 - Acknowledgement [Seite 517]
61.7 - References [Seite 517]
62 - Manufacturing Process Development for Thin Film Filaments as a New Product [Seite 519]
62.1 - Abstract [Seite 519]
62.2 - 1 Introduction [Seite 519]
62.3 - 2 Experimental Method [Seite 522]
62.4 - 3 Results [Seite 523]
62.5 - 4 Conclusion [Seite 525]
62.6 - References [Seite 526]
63 - Modelling of the High-Chromium Cast Iron Surface Roughness [Seite 529]
63.1 - Abstract [Seite 529]
63.2 - 1 Introduction [Seite 529]
63.3 - 2 The Experiment [Seite 531]
63.4 - 3 Model Implementation and Discussion [Seite 535]
63.5 - 4 Conclusion [Seite 538]
63.6 - Acknowledgment [Seite 539]
63.7 - References [Seite 539]
64 - Productivity and Performance Management [Seite 541]
65 - A System Dynamics Model for Long-Term Performance Monitoring of Projects Related to Oil Production in Iran [Seite 542]
65.1 - Abstract [Seite 542]
65.2 - 1 Introduction and Literature Review [Seite 542]
65.3 - 2 Problem [Seite 543]
65.4 - 3 Model [Seite 543]
65.4.1 - 3.1 Variables and Reference Trends [Seite 544]
65.4.2 - 3.2 Stock-Flow Diagram [Seite 546]
65.5 - 4 Model Validation [Seite 547]
65.6 - 5 Result and Conclusion [Seite 548]
65.7 - References [Seite 550]
66 - An SME Examination on the Effect of Transition to Automation Systems on Production Performance [Seite 551]
66.1 - Abstract [Seite 551]
66.2 - 1 Introduction [Seite 552]
66.3 - 2 Production Performance [Seite 553]
66.4 - 3 Automation System [Seite 553]
66.5 - 4 Implementation [Seite 554]
66.5.1 - 4.1 Problems Experienced in Transition to Automation Systems [Seite 555]
66.5.2 - 4.2 Effect of Automation System on Production Performance [Seite 557]
66.6 - 5 Conclusion and Recommendations [Seite 560]
66.7 - Acknowledgements [Seite 561]
66.8 - References [Seite 561]
67 - Performance Evaluation in the Firms of Turkish Textile Sector [Seite 563]
67.1 - Abstract [Seite 563]
67.2 - 1 Introduction [Seite 563]
67.3 - 2 Literature Review [Seite 564]
67.4 - 3 Material and Method [Seite 565]
67.5 - 4 Results and Discussion [Seite 566]
67.6 - 5 Conclusion [Seite 571]
67.7 - References [Seite 572]
68 - Some Universities Performance Evaluation of Entrepreneurship and Innovation in Turkey with Multiple Criteria Decision Making Methods [Seite 574]
68.1 - Abstract [Seite 574]
68.2 - 1 Introduction [Seite 575]
68.3 - 2 Literature Research [Seite 577]
68.4 - 3 Purpose of the Research [Seite 579]
68.4.1 - 3.1 Methodology of the Study [Seite 579]
68.4.2 - 3.2 Data Used in the Research [Seite 580]
68.4.3 - 3.3 Evaluation of GYU Performance with Promethee GAIA Method [Seite 580]
68.5 - 4 Conclusions and Suggestions [Seite 585]
68.6 - References [Seite 587]
69 - Turkey and Some EU Countries' Economic Performance Analysis with Multi-criteria Decision Making Methods: Promethee GAIA Application [Seite 589]
69.1 - Abstract [Seite 589]
69.2 - 1 Introduction [Seite 590]
69.3 - 2 Literature Research [Seite 591]
69.4 - 3 Methodology of the Research [Seite 595]
69.4.1 - 3.1 Purpose of the Research [Seite 595]
69.4.2 - 3.2 Data and Method [Seite 595]
69.4.3 - 3.3 Evaluation of Economic Performance with PROMETHEE Method [Seite 596]
69.4.4 - 3.4 Comparison of Economic Performance of Countries [Seite 599]
69.5 - 4 Conclusion and Comments [Seite 600]
69.6 - References [Seite 601]
70 - Warehouse Planning for Maximum Area Efficiency in the White Goods Sector [Seite 603]
70.1 - Abstract [Seite 603]
70.2 - 1 Introduction [Seite 603]
70.3 - 2 Literature Review [Seite 604]
70.4 - 3 Application [Seite 605]
70.5 - 4 Results [Seite 607]
70.6 - 5 Future Studies and Suggestions [Seite 608]
70.7 - References [Seite 608]
71 - Quality Management [Seite 609]
72 - Geometric Tolerancing Analysis of Multi-material Components (MMCs) Obtained by Industrial X-Ray Computed Tomography [Seite 610]
72.1 - Abstract [Seite 610]
72.2 - 1 Introduction [Seite 610]
72.3 - 2 Literature Review [Seite 611]
72.4 - 3 Materials and Methods [Seite 611]
72.5 - 4 Results and Discussions [Seite 612]
72.6 - 5 Conclusions [Seite 615]
72.7 - Acknowledgements [Seite 615]
72.8 - References [Seite 615]
73 - Intelligent Test Automation for Improved Software Quality Assurance [Seite 617]
73.1 - Abstract [Seite 617]
73.2 - 1 Introduction: Quality Assurance and Testing [Seite 617]
73.3 - 2 Software Testing [Seite 618]
73.4 - 3 Automation: Intelligent Testing [Seite 619]
73.5 - 4 Current Challenges in Test Automation [Seite 620]
73.6 - 5 QiTASC Test Automation: Smart Testing [Seite 621]
73.6.1 - 5.1 Why intaQt Automation? [Seite 621]
73.6.2 - 5.2 Combining QiTASC Products to Achieve High Levels of Automation [Seite 623]
73.6.3 - 5.3 Complex and Multi-context Systems Can Easily Be Automated by intaQt [Seite 625]
73.6.4 - 5.4 Further Automation Possibilities in the Agenda [Seite 626]
73.7 - 6 Conclusion [Seite 626]
73.8 - References [Seite 626]
74 - The Role of Product Perceived Quality in Building Customer Behavioral Loyalty Across Retail Channels [Seite 628]
74.1 - Abstract [Seite 628]
74.2 - 1 Introduction [Seite 628]
74.3 - 2 Theoretical Background on Customer Loyalty, Role of Product Quality and Other Factors [Seite 630]
74.3.1 - 2.1 Customer Loyalty in Omnichannel Retail [Seite 630]
74.3.2 - 2.2 Product Quality and Loyalty [Seite 631]
74.4 - 3 Research Methodology [Seite 632]
74.4.1 - 3.1 Research Framework and Questions [Seite 632]
74.4.2 - 3.2 Research Method and Data [Seite 634]
74.5 - 4 Results [Seite 635]
74.5.1 - 4.1 Factors of Loyalty in Offline Channel [Seite 636]
74.5.2 - 4.2 Factors of Loyalty in Online Channel [Seite 638]
74.5.3 - 4.3 Summary of Results and Managerial Implications Concerning Product Quality Role in Building Behavioral Loyalty [Seite 638]
74.6 - 5 Conclusions and Discussion [Seite 640]
74.7 - References [Seite 641]
75 - R&D and Technology Management [Seite 644]
76 - Innovation Efficiency in Automotive Industry: The Case of Turkey [Seite 645]
76.1 - Abstract [Seite 645]
76.2 - 1 Introduction [Seite 645]
76.3 - 2 Literature Review [Seite 646]
76.4 - 3 Methodology [Seite 647]
76.4.1 - 3.1 CCR Model Results [Seite 650]
76.4.2 - 3.2 BCC Model Results [Seite 654]
76.5 - 4 Conclusions and Recommendations [Seite 658]
76.6 - References [Seite 659]
77 - Overview of Technology Commercialization Options in Romania [Seite 660]
77.1 - Abstract [Seite 660]
77.2 - 1 Introduction [Seite 660]
77.3 - 2 Context and Methodology [Seite 661]
77.4 - 3 Implementation of the Investigation Methodology and Main Results [Seite 662]
77.5 - 4 Discussion of Outcomes and Implication [Seite 664]
77.6 - 5 Conclusions [Seite 666]
77.7 - References [Seite 666]
78 - Risk Analysis and Management [Seite 667]
79 - Physical Asset Risk Management: A Case Study from an Asset-Intensive Organization [Seite 668]
79.1 - Abstract [Seite 668]
79.2 - 1 Introduction [Seite 668]
79.3 - 2 Literature Review [Seite 669]
79.4 - 3 Physical Asset Risk Management Process [Seite 669]
79.4.1 - 3.1 Determination of Physical Assets' Risks [Seite 670]
79.4.2 - 3.2 Determination of Critical Physical Assets' Risks [Seite 670]
79.4.3 - 3.3 Select RTPs [Seite 672]
79.5 - 4 Case Study [Seite 674]
79.5.1 - 4.1 Determination of PP's Physical Assets' Risks [Seite 675]
79.5.2 - 4.2 Determination of PP's Critical Risks Related to Physical Assets [Seite 675]
79.5.3 - 4.3 Select RTPs for PP's Physical Assets [Seite 677]
79.6 - 5 Conclusions [Seite 678]
79.7 - References [Seite 678]
80 - Risk Analysis Application for a Medical Device Manufacturer [Seite 680]
80.1 - Abstract [Seite 680]
80.2 - 1 Introduction and Purpose [Seite 680]
80.3 - 2 Basic Concepts [Seite 681]
80.4 - 3 Risk Management Process [Seite 682]
80.5 - 4 Risk Analysis Methods [Seite 682]
80.6 - 5 A Case Study on Risk Management Process [Seite 684]
80.7 - 6 Conclusion [Seite 690]
80.8 - References [Seite 690]
81 - Scheduling [Seite 691]
82 - Hybrid Flowshop Scheduling Problem at DrPaste [Seite 692]
82.1 - Abstract [Seite 692]
82.2 - 1 Introduction [Seite 692]
82.3 - 2 NP-Hardness of the Problem [Seite 694]
82.4 - 3 Production Environment [Seite 694]
82.5 - 4 Genetic Algorithm [Seite 697]
82.6 - 5 Actual Size Problem Data [Seite 700]
82.7 - 6 Small Size Problem [Seite 700]
82.8 - 7 Parameter Tuning [Seite 701]
82.9 - 8 Design of User Interface [Seite 702]
82.10 - 9 Conclusion [Seite 705]
82.11 - References [Seite 705]
83 - Service System Management [Seite 707]
84 - Effect of Gamification Applications on Individual Performance: Air Transportation Application [Seite 708]
84.1 - Abstract [Seite 708]
84.2 - 1 Introduction [Seite 708]
84.3 - 2 Gamification Background [Seite 709]
84.4 - 3 Proposed Model and Results [Seite 710]
84.5 - 4 Conclusions and Recommendations [Seite 714]
84.6 - References [Seite 715]
85 - Simulation and Modelling [Seite 717]
86 - A Brief General Industrial Virtual Reality Applications Overview Including a Simple Factory VR Simulation [Seite 718]
86.1 - Abstract [Seite 718]
86.2 - 1 Introduction [Seite 718]
86.2.1 - 1.1 Necessity of VR According to Industry 4.0 [Seite 718]
86.2.2 - 1.2 Digital Twinning for the Visualization Process [Seite 719]
86.3 - 2 A Brief Literature Review for Applications of VR [Seite 720]
86.3.1 - 2.1 Industrial VR Applications [Seite 720]
86.3.2 - 2.2 VR Applications in Industrial Education [Seite 722]
86.3.3 - 2.3 Other General VR Applications [Seite 724]
86.4 - 3 Experimental Procedure and Results of VR Workshop Simulation [Seite 725]
86.5 - 4 Conclusions [Seite 727]
86.6 - References [Seite 727]
87 - Investigation of the Efficiency of Vibration-Assisted Nano-Grinding with Molecular Dynamics [Seite 731]
87.1 - Abstract [Seite 731]
87.2 - 1 Introduction [Seite 731]
87.3 - 2 Methodology [Seite 734]
87.4 - 3 Results and Discussion [Seite 736]
87.5 - 4 Conclusions [Seite 740]
87.6 - References [Seite 740]
88 - Supply Chain Management [Seite 743]
89 - A New Approach to Location Routing Problem: Capacitated Periodic Location Routing Problem with Inventory [Seite 744]
89.1 - Abstract [Seite 744]
89.2 - 1 Introduction [Seite 744]
89.3 - 2 Literature [Seite 746]
89.4 - 3 Problem Definition [Seite 748]
89.5 - 4 Simulated Annealing for the CPRLPI [Seite 752]
89.6 - 5 Discussion [Seite 755]
89.7 - 6 Conclusion and Recommendations [Seite 757]
89.8 - Acknowledgment [Seite 757]
89.9 - References [Seite 757]
90 - Smart Manufacturing of Electric Vehicles [Seite 760]
90.1 - Abstract [Seite 760]
90.2 - 1 Introduction [Seite 761]
90.2.1 - 1.1 Mobility Needs and Trends [Seite 761]
90.3 - 2 Microfactory Concept [Seite 762]
90.3.1 - 2.1 Cleaner Energy Management [Seite 764]
90.3.2 - 2.2 Sustainable Supply Chain Model for Microfactory Network [Seite 765]
90.4 - 3 Conclusions [Seite 765]
90.5 - References [Seite 766]
91 - Capstone Projects [Seite 767]
92 - A Multi-sided and Multi-model Assembly Line Balancing Problem [Seite 768]
92.1 - Abstract [Seite 768]
92.2 - 1 Introduction [Seite 768]
92.3 - 2 Literature Review [Seite 770]
92.4 - 3 Problem Formulat?on [Seite 771]
92.5 - 4 Computational Results and Decision Support System [Seite 774]
92.5.1 - 4.1 Verification [Seite 774]
92.5.2 - 4.2 Validation and Improvements [Seite 774]
92.5.3 - 4.3 Sensitivity Analysis [Seite 776]
92.5.4 - 4.4 Decision Support System [Seite 778]
92.6 - 5 Conclusion [Seite 779]
92.7 - Acknowledgments [Seite 779]
92.8 - References [Seite 780]
93 - A Parallel Machine Scheduling Problem for a Plastic Injection Company [Seite 781]
93.1 - Abstract [Seite 781]
93.2 - 1 Introduction [Seite 781]
93.3 - 2 Problem Definition [Seite 782]
93.3.1 - 2.1 Current System Observations and Symptoms [Seite 782]
93.3.2 - 2.2 Problem Definition [Seite 783]
93.4 - 3 Literature Review [Seite 783]
93.5 - 4 Problem Formulation [Seite 785]
93.6 - 5 Solution Methodology [Seite 787]
93.7 - 6 Decision Support System [Seite 789]
93.8 - 7 Verification and Validation [Seite 791]
93.9 - 8 Conclusions [Seite 792]
93.10 - Acknowledgment [Seite 793]
93.11 - References [Seite 793]
94 - A Single Machine Job Scheduling Problem with Sequence Dependent Setup Times [Seite 795]
94.1 - Abstract [Seite 795]
94.2 - 1 Introduction [Seite 795]
94.3 - 2 Problem Definition and Literature Review [Seite 796]
94.4 - 3 Problem Formulation [Seite 797]
94.5 - 4 Heuristic Algorithms [Seite 799]
94.5.1 - 4.1 ATCS Rule Based Heuristic Algorithm [Seite 799]
94.5.2 - 4.2 EDD, WEDD, SPT and WSPT Rule based Heuristic Algorithms [Seite 802]
94.6 - 5 Computational Experiments [Seite 802]
94.6.1 - 5.1 Comparison of Algorithms with Respect to the Optimal Results [Seite 803]
94.6.2 - 5.2 Comparison of Algorithms with Time-Limited CPLEX [Seite 804]
94.7 - 6 Decision Support System [Seite 805]
94.8 - 7 Conclusion and Future Work [Seite 807]
94.9 - References [Seite 807]
95 - An Implementation of Flexible Job Shop Scheduling Problem in a Metal Processing Company [Seite 808]
95.1 - Abstract [Seite 808]
95.2 - 1 Introduction [Seite 808]
95.3 - 2 Problem Definition [Seite 809]
95.3.1 - 2.1 Data Analysis [Seite 810]
95.3.2 - 2.2 System Analysis [Seite 810]
95.4 - 3 Literature Review [Seite 812]
95.5 - 4 Solution Methodology [Seite 813]
95.5.1 - 4.1 Mathematical Model [Seite 813]
95.5.2 - 4.2 Heuristic Algorithm [Seite 815]
95.6 - 5 Verification, Validation and Computational Results [Seite 818]
95.6.1 - 5.1 Real Data [Seite 819]
95.6.2 - 5.2 Hypothesis Testing [Seite 820]
95.7 - 6 Conclusion [Seite 820]
95.8 - Acknowledgment [Seite 821]
95.9 - References [Seite 821]
96 - Analysis and Improvement of Employee Transportation System [Seite 822]
96.1 - Abstract [Seite 822]
96.2 - 1 Introduction [Seite 822]
96.3 - 2 Problem Definition [Seite 823]
96.3.1 - 2.1 Current System and Symptoms of the Problem [Seite 823]
96.3.2 - 2.2 Problem Definition [Seite 823]
96.4 - 3 Literature Review [Seite 824]
96.5 - 4 Problem Formulation [Seite 825]
96.6 - 5 Solution Methodology [Seite 827]
96.7 - 6 Computational Results [Seite 829]
96.8 - 7 Conclusions [Seite 831]
96.9 - References [Seite 831]
97 - Container Demand Forecasting Using Machine Learning Methods: A Real Case Study from Turkey [Seite 833]
97.1 - Abstract [Seite 833]
97.2 - 1 Introduction [Seite 833]
97.3 - 2 Literature Review [Seite 834]
97.4 - 3 Problem Definition [Seite 836]
97.5 - 4 Methodology [Seite 837]
97.5.1 - 4.1 Machine Learning [Seite 837]
97.5.1.1 - 4.1.1 Artificial Neural Networks (ANN) [Seite 837]
97.5.1.2 - 4.1.2 Decision Trees [Seite 838]
97.5.1.3 - 4.1.3 Decision Forest/Random Forest (RF) [Seite 838]
97.5.2 - 4.2 Linear Regression [Seite 838]
97.5.3 - 4.3 Performance Metrics to Evaluate Forecasting Models [Seite 839]
97.5.3.1 - 4.3.1 Mean Absolute Error (MAE) [Seite 839]
97.5.3.2 - 4.3.2 Root Mean Square Error (RMSE) [Seite 839]
97.5.3.3 - 4.3.3 Relative Absolute Error (RAE) [Seite 839]
97.5.3.4 - 4.3.4 Relative Squared Error (RSE) [Seite 839]
97.5.3.5 - 4.3.5 Coefficient of Determination (R2) [Seite 840]
97.6 - 5 Results [Seite 840]
97.7 - 6 Conclusion [Seite 841]
97.8 - Acknowledgment [Seite 842]
97.9 - References [Seite 842]
98 - Customer Order Scheduling in Hybrid Flow Shop Manufacturing System [Seite 844]
98.1 - Abstract [Seite 844]
98.2 - 1 Introduction [Seite 844]
98.3 - 2 Problem Definition [Seite 845]
98.4 - 3 Literature Review [Seite 846]
98.5 - 4 Modeling and Solution Methodology [Seite 846]
98.5.1 - 4.1 Limitations and Assumptions [Seite 846]
98.5.2 - 4.2 Mathematical Model [Seite 847]
98.5.3 - 4.3 Genetic Algorithm [Seite 849]
98.6 - 5 Verification and Validation [Seite 850]
98.7 - 6 Decision Support System and Computational Results [Seite 852]
98.7.1 - 6.1 Decision Support System (DSS) [Seite 852]
98.7.2 - 6.2 Computational Results [Seite 854]
98.8 - 7 Conclusions and Future Work [Seite 855]
98.9 - Acknowledgements [Seite 856]
98.10 - References [Seite 856]
99 - Development of Hydraulic Drive Railway Bearings Installation System [Seite 857]
99.1 - Abstract [Seite 857]
99.2 - 1 Introduction [Seite 857]
99.3 - 2 Material and Method [Seite 858]
99.3.1 - 2.1 Material of Pipe of Hydraulic Cylinder and Mounting-Dismounting Fixtures [Seite 858]
99.4 - 3 Method [Seite 859]
99.5 - 4 Results and Discussion [Seite 861]
99.5.1 - 4.1 Design of Hydraulic Drive Railway Bearings Installation System [Seite 861]
99.5.2 - 4.2 Static Structural Analysis [Seite 862]
99.5.3 - 4.3 Manufacturing [Seite 864]
99.6 - 5 Conclusion [Seite 865]
99.7 - Acknowledgment [Seite 865]
99.8 - References [Seite 866]
100 - Improving the Operations in a Logistics Company: A Case Study in Turkey [Seite 867]
100.1 - Abstract [Seite 867]
100.2 - 1 Introduction [Seite 867]
100.3 - 2 Literature Review [Seite 868]
100.4 - 3 QFD Methodology [Seite 870]
100.5 - 4 Implementation of the Study [Seite 872]
100.6 - 5 Discussions and Conclusion [Seite 876]
100.7 - References [Seite 877]
101 - Improving the Throughput of Pipe and Tube Production: A Case Study [Seite 879]
101.1 - Abstract [Seite 879]
101.2 - 1 Introduction [Seite 879]
101.3 - 2 Literature Review [Seite 880]
101.4 - 3 Problem Formulation [Seite 881]
101.5 - 4 Solution Methodology [Seite 883]
101.6 - 5 Computational Results [Seite 885]
101.6.1 - 5.1 WIP Study [Seite 885]
101.6.2 - 5.2 Layout Optimization [Seite 886]
101.7 - 6 Conclusion [Seite 889]
101.8 - Acknowledgment [Seite 890]
101.9 - References [Seite 890]
102 - Integrated Transportation and Packaging Problem Modeling and Application [Seite 891]
102.1 - Abstract [Seite 891]
102.2 - 1 Introduction [Seite 891]
102.3 - 2 Literature Review [Seite 892]
102.4 - 3 Problem Formulation [Seite 893]
102.5 - 4 Heuristic Algorithm [Seite 897]
102.6 - 5 Computational Results [Seite 899]
102.7 - 6 Decision Support System [Seite 900]
102.8 - 7 Conclusion and Future Work [Seite 902]
102.9 - Acknowledgments [Seite 903]
102.10 - References [Seite 903]
103 - Lean Warehouse Application in a Meat Producer Company [Seite 905]
103.1 - Abstract [Seite 905]
103.2 - 1 Introduction [Seite 905]
103.3 - 2 Observations and System [Seite 906]
103.4 - 3 Problem Definition [Seite 907]
103.5 - 4 Literature Review [Seite 908]
103.5.1 - 4.1 Lean Management [Seite 908]
103.5.2 - 4.2 Value Stream Mapping [Seite 910]
103.6 - 5 Methodology [Seite 910]
103.6.1 - 5.1 Proposed Methodology: ABC Analysis [Seite 910]
103.6.2 - 5.2 Current State Map [Seite 914]
103.6.3 - 5.3 Future State Map [Seite 916]
103.7 - 6 Conclusion [Seite 917]
103.8 - References [Seite 918]
104 - Location Optimization of Receivers for IoT- Based Infrastructures [Seite 921]
104.1 - Abstract [Seite 921]
104.2 - 1 Introduction [Seite 921]
104.3 - 2 Literature Review [Seite 923]
104.4 - 3 Problem Formulation [Seite 924]
104.4.1 - 3.1 Mathematical Modeling [Seite 925]
104.5 - 4 Computational Results [Seite 930]
104.6 - 5 Decision Support System [Seite 930]
104.7 - 6 Conclusions [Seite 932]
104.8 - References [Seite 932]
105 - Makespan Minimization in Manufacturing Process of a Company [Seite 934]
105.1 - Abstract [Seite 934]
105.2 - 1 Introduction [Seite 934]
105.3 - 2 Literature Review [Seite 935]
105.4 - 3 Methodology and Modelling [Seite 936]
105.5 - 4 Result of the Mathematical Modeling [Seite 940]
105.6 - 5 Conclusion [Seite 940]
105.7 - References [Seite 940]
106 - Multi Model Multiple Line Balancing Problem Modeling and Real-Life Application [Seite 942]
106.1 - Abstract [Seite 942]
106.2 - 1 Introduction [Seite 942]
106.3 - 2 Problem Definition [Seite 943]
106.4 - 3 Literature Review [Seite 944]
106.5 - 4 Solution Methodology [Seite 945]
106.5.1 - 4.1 Assignment Algorithm [Seite 945]
106.5.2 - 4.2 Mathematical Model [Seite 947]
106.6 - 5 The Computational Results and Implementation [Seite 949]
106.7 - 6 Decision Support System [Seite 950]
106.8 - 7 Conclusion and Future Work [Seite 951]
106.9 - Acknowledgment [Seite 952]
106.10 - References [Seite 952]
107 - Quantitative Analysis of Stakeholder Perspective on the University-Industry-Government Collaboration in ?zmir, Turkey [Seite 954]
107.1 - Abstract [Seite 954]
107.2 - 1 Introduction [Seite 954]
107.3 - 2 Literature Review [Seite 955]
107.4 - 3 Methodology [Seite 958]
107.5 - 4 Analysis and Findings [Seite 960]
107.6 - 5 Conclusions [Seite 963]
107.7 - Acknowledgment [Seite 963]
107.8 - References [Seite 963]
108 - Parcel Delivery Service Quality Assessment [Seite 966]
108.1 - Abstract [Seite 966]
108.2 - 1 Introduction [Seite 966]
108.3 - 2 Literature Review [Seite 967]
108.4 - 3 Methodology [Seite 968]
108.4.1 - 3.1 Description of the SERVQUAL Method [Seite 968]
108.4.2 - 3.2 Description of the KANO Method [Seite 969]
108.4.3 - 3.3 Survey Development [Seite 970]
108.4.4 - 3.4 Participants [Seite 970]
108.5 - 4 Findings [Seite 971]
108.5.1 - 4.1 SERVQUAL Findings [Seite 971]
108.5.2 - 4.2 Kano Findings [Seite 973]
108.6 - 5 Conclusion [Seite 976]
108.7 - References [Seite 977]
109 - Production Scheduling at a Powder Coating Company [Seite 980]
109.1 - Abstract [Seite 980]
109.2 - 1 Introduction [Seite 980]
109.3 - 2 Problem Formulation and Solution Methodology [Seite 981]
109.3.1 - 2.1 Mathematical Model [Seite 982]
109.3.2 - 2.2 Genetic Algorithm [Seite 985]
109.3.3 - 2.3 Rule-Based Heuristic [Seite 987]
109.3.4 - 2.4 Simulation Model [Seite 989]
109.3.5 - 2.5 Validation and Verification [Seite 989]
109.4 - 3 Conclusion [Seite 991]
109.5 - Acknowledgment [Seite 991]
109.6 - References [Seite 992]
110 - Ranking of Private Turkish Universities: Proposal of New Indicators [Seite 993]
110.1 - Abstract [Seite 993]
110.2 - 1 Introduction [Seite 993]
110.3 - 2 Worldwide University Rankings [Seite 995]
110.4 - 3 New Indicators Weights and the Methodology of UL Ranking [Seite 1000]
110.4.1 - 3.1 Indicators and Weights of UL Ranking [Seite 1000]
110.4.2 - 3.2 The methodology of UL Ranking [Seite 1001]
110.5 - 4 Results and Analysis [Seite 1002]
110.6 - 5 Conclusions [Seite 1003]
110.7 - Acknowledgment [Seite 1003]
110.8 - References [Seite 1003]
111 - Author Index [Seite 1006]
2 - Preface [Seite 7]
3 - Key Technology Roadmap In Production of Future - Industry 4.0 [Seite 10]
4 - Organization [Seite 12]
4.1 - Editors [Seite 12]
4.2 - Co-editors [Seite 12]
4.3 - Honorary Chairs [Seite 12]
4.4 - Symposium Chairs [Seite 12]
4.5 - International Honorary Committee [Seite 13]
4.6 - Organizing Committee [Seite 13]
4.7 - This book is prepared for publishing by [Seite 13]
4.8 - Scientific Committee [Seite 13]
4.9 - Reviewers [Seite 16]
5 - Contents [Seite 18]
6 - Big Data and Analytics [Seite 27]
7 - A Hybrid Recommender System: Uniqueness of Choices by Using Machine Learning Technique [Seite 28]
7.1 - Abstract [Seite 28]
7.2 - 1 Introduction [Seite 28]
7.3 - 2 Statement of the Problem [Seite 29]
7.3.1 - 2.1 Definitions [Seite 30]
7.3.1.1 - 2.1.1 Vocabulary [Seite 30]
7.3.1.2 - 2.1.2 Concepts [Seite 31]
7.4 - 3 Proposed Recommender System Algorithm [Seite 31]
7.5 - 4 Results and Discussions [Seite 34]
7.6 - 5 Conclusions [Seite 37]
7.7 - References [Seite 37]
8 - IoT Based Real-World Emission Analysis of Motorcycles [Seite 39]
8.1 - Abstract [Seite 39]
8.2 - 1 Introduction [Seite 40]
8.3 - 2 IOT Connection of the Emission Measuring Device [Seite 41]
8.4 - 3 Experimental Setup [Seite 43]
8.5 - 4 Result of the Emission Monitoring [Seite 44]
8.6 - 5 Conclusion [Seite 47]
8.7 - Acknowledgement [Seite 48]
8.8 - References [Seite 48]
9 - Decision Making [Seite 49]
10 - Using Best Worst Method for Location Selection of Piezoelectric Tiles [Seite 50]
10.1 - Abstract [Seite 50]
10.2 - 1 Introduction [Seite 50]
10.3 - 2 Best Worst Method as a Novel Multi-Criteriia Decision Making [Seite 51]
10.4 - 3 The Proposed Methodology [Seite 52]
10.4.1 - 3.1 Determination of the Criteria Set [Seite 52]
10.4.2 - 3.2 Computation of Weights and Application Results [Seite 54]
10.5 - 4 Conclusions [Seite 56]
10.6 - References [Seite 57]
11 - Facility and Capacity Management [Seite 58]
12 - Site Selection for a Training Centre Focused on Industry 4.0 by Using DEMATEL and COPRAS [Seite 59]
12.1 - Abstract [Seite 59]
12.2 - 1 Introduction [Seite 60]
12.3 - 2 Brief Description About the Digital Transformation Training and Practice Center [Seite 61]
12.4 - 3 Site Selection for the Digital Transformation Training and Practice Center [Seite 63]
12.4.1 - 3.1 DEMATEL as the Decision-Making Technique and Determining the Criteria to Be Used in Site Selection [Seite 64]
12.4.2 - 3.2 COPRAS as the Decision-Making Technique and Evaluation of Site Selection Alternatives [Seite 67]
12.5 - 4 Conclusion [Seite 70]
12.6 - Acknowledgement [Seite 71]
12.7 - References [Seite 71]
13 - Fuzzy Logic [Seite 73]
14 - Facility Location for Unmanned Aerial Vehicle Base Stations to Provide Uninterrupted Mobile Communication After Earthquakes [Seite 74]
14.1 - Abstract [Seite 74]
14.2 - 1 Introduction [Seite 74]
14.3 - 2 Weber Problem [Seite 76]
14.4 - 3 Methodology [Seite 77]
14.4.1 - 3.1 Determination of Distance in Probabilistic Methods [Seite 77]
14.4.2 - 3.2 Determination of Demand in Probabilistic Methods [Seite 78]
14.4.3 - 3.3 Fuzzy C-Means [Seite 78]
14.4.4 - 3.4 Fuzzy C-Means - Center of Gravity (FCM- COG) [Seite 79]
14.5 - 4 Case Study [Seite 80]
14.6 - 5 Results [Seite 80]
14.7 - 6 Conclusion [Seite 81]
14.8 - References [Seite 81]
15 - Healthcare Systems and Management [Seite 83]
16 - A Guide Application in Case of Emergency Health: A Case of Turkey [Seite 84]
16.1 - Abstract [Seite 84]
16.2 - 1 Introduction [Seite 84]
16.3 - 2 Literature Review [Seite 85]
16.3.1 - 2.1 World Healthcare System [Seite 85]
16.3.2 - 2.2 Canadian Healthcare System [Seite 86]
16.3.3 - 2.3 Turkish Healthcare System [Seite 88]
16.4 - 3 Methodology [Seite 90]
16.4.1 - 3.1 Turkey's Mobile Health Application [Seite 90]
16.4.2 - 3.2 Needs Analysis [Seite 90]
16.4.3 - 3.3 Survey Questions and Analysis [Seite 91]
16.5 - 4 Application Execution [Seite 93]
16.5.1 - 4.1 Testing Process [Seite 94]
16.6 - 5 Conclusion [Seite 95]
16.7 - References [Seite 95]
17 - Parametric Design and Modeling of 3D Printed Prosthetic Finger [Seite 99]
17.1 - Abstract [Seite 99]
17.2 - 1 Introduction [Seite 99]
17.3 - 2 Design of the Model [Seite 100]
17.3.1 - 2.1 Mechanical Design [Seite 100]
17.3.2 - 2.2 Parametric Design [Seite 103]
17.3.3 - 2.3 Assembling Mechanism [Seite 105]
17.4 - 3 Analysis and Results [Seite 106]
17.5 - 4 Conclusion [Seite 108]
17.6 - References [Seite 108]
18 - Industrial Applications [Seite 110]
19 - Conceptual Design and Fluid Structure Interaction Analysis of a Solar Powered High-Altitude Pseudo-Satellite (HAPS) UAV Wing Model [Seite 111]
19.1 - Abstract [Seite 111]
19.2 - 1 Introduction [Seite 111]
19.3 - 2 Competitive Study [Seite 113]
19.4 - 3 Wing Loading Estimation [Seite 114]
19.5 - 4 Airfoil and Wing Geometry Selection [Seite 115]
19.5.1 - 4.1 Airfoil Selection [Seite 115]
19.5.2 - 4.2 Wing Geometry [Seite 116]
19.6 - 5 Fluid Structure Interaction Analysis [Seite 118]
19.6.1 - 5.1 Wing Model [Seite 118]
19.6.2 - 5.2 Simulation and Analysis of the Wing Flow Field [Seite 119]
19.6.3 - 5.3 Structural Analysis [Seite 121]
19.7 - 6 Conclusions [Seite 122]
19.8 - Acknowledgment [Seite 122]
19.9 - References [Seite 122]
20 - Design and Development of Drum Granulator [Seite 124]
20.1 - Abstract [Seite 124]
20.2 - 1 Introduction [Seite 124]
20.3 - 2 Material and Method [Seite 125]
20.3.1 - 2.1 Material [Seite 125]
20.3.2 - 2.2 Method [Seite 125]
20.3.3 - 2.3 Testing of the Drum Granulator [Seite 128]
20.4 - 3 Results and Discussion [Seite 130]
20.4.1 - 3.1 Design Process Results [Seite 130]
20.4.2 - 3.2 Analysis Process Results [Seite 130]
20.5 - 4 Conclusion [Seite 131]
20.6 - References [Seite 132]
21 - Forecasting Electricity Generation and Shares by Energy Resources by Time Series Analysis: A Case-Study of Turkey [Seite 133]
21.1 - Abstract [Seite 133]
21.2 - 1 Introduction [Seite 133]
21.3 - 2 Literature Review [Seite 134]
21.4 - 3 Methodology and Modelling [Seite 135]
21.5 - 4 Conclusion [Seite 138]
21.6 - References [Seite 138]
22 - Fused Filament Fabrication of Ceramic Components for Home Use [Seite 139]
22.1 - Abstract [Seite 139]
22.2 - 1 Introduction [Seite 140]
22.2.1 - 1.1 Objective and Research Question [Seite 141]
22.2.2 - 1.2 Relevance of the Question [Seite 141]
22.2.3 - 1.3 Methods [Seite 142]
22.3 - 2 Fused Filament Fabrication [Seite 142]
22.3.1 - 2.1 Process [Seite 142]
22.3.2 - 2.2 Extrusion Methods [Seite 143]
22.3.3 - 2.3 Ceramics [Seite 143]
22.3.4 - 2.4 Binder [Seite 143]
22.3.5 - 2.5 Debinding [Seite 144]
22.3.6 - 2.6 Sintering [Seite 144]
22.3.7 - 2.7 Parameters [Seite 145]
22.3.8 - 2.8 Known Problem Areas in the Process [Seite 145]
22.4 - 3 Market Situation [Seite 146]
22.4.1 - 3.1 Filaments [Seite 146]
22.4.2 - 3.2 Industrial Providers [Seite 147]
22.5 - 4 Experimental [Seite 148]
22.5.1 - 4.1 Print [Seite 148]
22.5.2 - 4.2 Debinding [Seite 149]
22.5.3 - 4.3 Sintering [Seite 150]
22.5.4 - 4.4 Results [Seite 150]
22.6 - 5 Discussion [Seite 151]
22.7 - 6 Conclusions [Seite 153]
22.8 - References [Seite 153]
23 - Fused Filament Fabrication of Metallic Components for Semi-professional and Home Use [Seite 158]
23.1 - Abstract [Seite 158]
23.2 - 1 Introduction [Seite 158]
23.3 - 2 Methods [Seite 160]
23.4 - 3 Theory [Seite 160]
23.5 - 4 Empirical Market Research [Seite 161]
23.6 - 5 Experimental [Seite 162]
23.7 - 6 Discussion [Seite 165]
23.8 - References [Seite 165]
24 - Increasing of Stud Welding Efficiency in the Body Shop [Seite 168]
24.1 - Abstract [Seite 168]
24.2 - 1 Description of the Used Stud Welding Technologies [Seite 168]
24.2.1 - 1.1 Arc Welding of Bolts with Stroke [Seite 169]
24.2.2 - 1.2 Point-Contact Welding of Studs [Seite 170]
24.2.3 - 1.3 Welding of Studs in a Magnetic Field [Seite 170]
24.3 - 2 Automation and Robotization of the Process [Seite 171]
24.4 - 3 Solution of a Part of the Welding Line Using the Process Simulate Software [Seite 172]
24.4.1 - 3.1 Description of the Welding Line [Seite 172]
24.4.2 - 3.2 Dynamic Simulation [Seite 173]
24.4.3 - 3.3 Setting the Kinematics of the Line Parts [Seite 175]
24.4.4 - 3.4 Solution Simulation [Seite 176]
24.4.5 - 3.5 Design of Welding Line Optimization [Seite 177]
24.5 - 4 Conclusions [Seite 178]
24.6 - Acknowledgment [Seite 178]
24.7 - References [Seite 178]
25 - Measurements of a Finished Garment Using 3D Laser Image Processing [Seite 180]
25.1 - Abstract [Seite 180]
25.2 - 1 Introduction [Seite 180]
25.3 - 2 Related Works [Seite 181]
25.4 - 3 Measurement Strategy [Seite 182]
25.4.1 - 3.1 Key Aspects of Quality for the Customer (https://www.inspection-for-industry.com/finished-goods-inspection.html) (2020) [Seite 182]
25.4.2 - 3.2 Surface Form [Seite 182]
25.5 - 4 Edge Detection [Seite 183]
25.5.1 - 4.1 Main Steps in Edge Detection [Seite 184]
25.5.2 - 4.2 Image Smoothing [Seite 185]
25.5.3 - 4.3 Edges and Boundaries [Seite 186]
25.5.4 - 4.4 Image Segmentation Using Edge Detection [Seite 186]
25.5.5 - 4.5 Using the Hough Transform [Seite 187]
25.5.6 - 4.6 Segmentation Methods [Seite 188]
25.6 - 5 Measurement of Jacket and Conclusion [Seite 189]
25.6.1 - 5.1 Measurement by Using 3D Laser Scanner-Non-contact Blue Laser [Seite 189]
25.6.2 - 5.2 Measurement Through Two-Dimensional Image [Seite 190]
25.7 - 6 Conclusion [Seite 191]
25.8 - References [Seite 192]
26 - Porosity Measurement by X - Ray Computed Tomography: Different Porosity Analysis Application [Seite 193]
26.1 - Abstract [Seite 193]
26.2 - 1 Introduction [Seite 193]
26.3 - 2 Experimental Investigation [Seite 197]
26.4 - 3 Conclusions [Seite 202]
26.5 - Acknowledgment [Seite 203]
26.6 - References [Seite 203]
27 - Industrial Robotics in Production Systems and Industrial Engineering [Seite 204]
28 - Accuracy Improvement and Process Flow Adaption for Robot Machining [Seite 205]
28.1 - Abstract [Seite 205]
28.2 - 1 Introduction [Seite 205]
28.3 - 2 Industrial Robots and CNC Machine Tools [Seite 206]
28.4 - 3 Calibration and Offline Compensation [Seite 208]
28.4.1 - 3.1 Calibration [Seite 208]
28.4.2 - 3.2 Offline Compensation [Seite 209]
28.5 - 4 Hardware and Software Adaption [Seite 212]
28.5.1 - 4.1 Existing Station and Production Process [Seite 212]
28.5.2 - 4.2 Enhancements for Automated Process Environment [Seite 213]
28.6 - 5 Conclusions [Seite 214]
28.7 - References [Seite 214]
29 - Artificial Neural Networks Based Place Categorization [Seite 217]
29.1 - Abstract [Seite 217]
29.2 - 1 Introduction [Seite 217]
29.3 - 2 Supervised Learning [Seite 218]
29.4 - 3 Convolutional Neural Networks [Seite 218]
29.5 - 4 Implemented Algorithms [Seite 220]
29.5.1 - 4.1 Naïve Bayes Filter [Seite 220]
29.5.2 - 4.2 Multinomial Logistic Regression [Seite 220]
29.5.3 - 4.3 Support Vector Machines [Seite 221]
29.6 - 5 Results and Discussion [Seite 222]
29.7 - 6 Conclusion [Seite 223]
29.8 - References [Seite 224]
30 - Logic Control of an Industrial Automation Cell with ROS as Part of SMEs and Industry 4.0 Interconnection [Seite 226]
30.1 - Abstract [Seite 226]
30.2 - 1 Introduction [Seite 227]
30.2.1 - 1.1 State of the Art [Seite 227]
30.2.2 - 1.2 Related Work [Seite 228]
30.2.3 - 1.3 Problem Definition [Seite 228]
30.3 - 2 Open Source Process Logic [Seite 229]
30.3.1 - 2.1 Basic Concepts [Seite 229]
30.3.2 - 2.2 Robot Modeling [Seite 230]
30.3.3 - 2.3 Motion Planning [Seite 232]
30.4 - 3 Automation Cell [Seite 233]
30.4.1 - 3.1 Components of Process Control [Seite 233]
30.4.2 - 3.2 Robot Arm System [Seite 233]
30.4.3 - 3.3 Model/Visualization/Control GUI [Seite 234]
30.4.4 - 3.4 Software Controller/Simulation/Robot Controller [Seite 235]
30.5 - 4 Conclusions [Seite 236]
30.6 - 5 Next Steps [Seite 236]
30.7 - References [Seite 237]
31 - Robot Retrofitting by Using LinuxCNC Complemented with Arduino/RaspberryPI [Seite 238]
31.1 - Abstract [Seite 238]
31.2 - 1 Introduction [Seite 239]
31.2.1 - 1.1 The Industrial Automation Need, Yesterday, Today, Tomorrow [Seite 239]
31.2.2 - 1.2 Yesterday, the Puma560 Milestone [Seite 240]
31.2.3 - 1.3 The "Engelberger Robotics Award" [Seite 240]
31.2.4 - 1.4 Today Industrie 4.0 [Seite 240]
31.2.5 - 1.5 Tomorrow, Automation Robotic Autonomation [Seite 241]
31.3 - 2 LinuxCNC [Seite 241]
31.3.1 - 2.1 LinuxCNC History and Strong Current Use [Seite 241]
31.3.2 - 2.2 LinuxCNC Main Idea and Possibilities Foreseen in the Original Concept [Seite 241]
31.3.3 - 2.3 Components [Seite 242]
31.3.4 - 2.4 User Interface [Seite 242]
31.3.5 - 2.5 Hardware Abstraction Layer [Seite 243]
31.3.6 - 2.6 HAL Concepts (LinuxCNC, 2020) [Seite 243]
31.3.7 - 2.7 HAL Tools [Seite 243]
31.3.8 - 2.8 Examining the HAL [Seite 244]
31.3.9 - 2.9 Loading Components [Seite 244]
31.3.10 - 2.10 Robot Geometry: GENSERKINS [Seite 245]
31.3.11 - 2.11 Planning Movement: MOTMOD [Seite 245]
31.3.12 - 2.12 Controlling the Step Motors: STEPGEN [Seite 245]
31.3.13 - 2.13 Bringing Signals to the Real World: HAL_PARPORT [Seite 246]
31.3.14 - 2.14 Other Component, DDT [Seite 247]
31.3.15 - 2.15 A Real World Controller [Seite 247]
31.4 - 3 Arduino/Raspberry PI, (and Other Similar Hardware) [Seite 248]
31.5 - 4 Modern Motors, Design and Control of Special Brushless Motors [Seite 249]
31.6 - 5 Advantages of Quickly Switching from: The Real World to the Virtual World (Emulator) [Seite 249]
31.7 - 6 Conclusions [Seite 250]
31.8 - 7 Next Steps [Seite 251]
31.9 - References [Seite 251]
32 - Parameter Optimization for the 3D Print of Thermo-Plastic Pellets with an Industrial Robot [Seite 252]
32.1 - Abstract [Seite 252]
32.2 - 1 Introduction [Seite 253]
32.3 - 2 Problem Description [Seite 253]
32.4 - 3 Materials and Methods [Seite 254]
32.5 - 4 Practical Realization [Seite 255]
32.6 - 5 Print Results [Seite 256]
32.7 - 6 Alternative Pellet Extruders [Seite 257]
32.8 - 7 Design of New Pellet Extruder [Seite 259]
32.9 - 8 Conclusion [Seite 261]
32.10 - References [Seite 262]
33 - Industry 4.0 Applications [Seite 264]
34 - A Comparative Sectoral Analysis of Industry 4.0 Readiness Levels of Turkish SMEs [Seite 265]
34.1 - Abstract [Seite 265]
34.2 - 1 Introduction [Seite 266]
34.3 - 2 Methodology [Seite 268]
34.4 - 3 Implementation and Results [Seite 268]
34.5 - 4 Conclusions [Seite 275]
34.6 - Acknowledgment [Seite 276]
34.7 - References [Seite 276]
35 - A Decision Support Tool for Classification of Turkish SMEs' Industry 4.0 Score Levels [Seite 278]
35.1 - Abstract [Seite 278]
35.2 - 1 Introduction [Seite 279]
35.3 - 2 Methodology [Seite 280]
35.3.1 - 2.1 Data Classification [Seite 280]
35.3.2 - 2.2 Performance Evaluation [Seite 281]
35.3.3 - 2.3 Estimation Methodologies [Seite 282]
35.4 - 3 Implementation and Results [Seite 283]
35.4.1 - 3.1 Data Description and Preprocessing [Seite 283]
35.4.2 - 3.2 Hyperparameter Tuning [Seite 284]
35.5 - 4 Results [Seite 285]
35.5.1 - 4.1 Decision Support Tool [Seite 285]
35.6 - 5 Conclusions [Seite 286]
35.7 - Acknowledgment [Seite 286]
35.8 - Appendix-I [Seite 287]
35.9 - Appendix-II [Seite 287]
35.10 - Appendix-III [Seite 288]
35.11 - Appendix-IV [Seite 288]
35.12 - Appendix-V [Seite 289]
35.13 - References [Seite 289]
36 - Adaptation of CNC Machine Tools in Educational Center That Matches the Concept of Industry 4.0 [Seite 291]
36.1 - Abstract [Seite 291]
36.2 - 1 Introduction [Seite 291]
36.3 - 2 Problem Analysis [Seite 292]
36.4 - 3 Case Study [Seite 297]
36.5 - 4 Conclusions [Seite 301]
36.6 - References [Seite 301]
37 - Digital Maturity Assessment Model for Smart Agriculture [Seite 303]
37.1 - Abstract [Seite 303]
37.2 - 1 Introduction [Seite 303]
37.3 - 2 Smart Agriculture [Seite 305]
37.4 - 3 Methodology [Seite 305]
37.4.1 - 3.1 Determination of Criteria Set [Seite 306]
37.4.2 - 3.2 Determination of Weights [Seite 309]
37.4.3 - 3.3 Application [Seite 312]
37.5 - 4 Conclusions [Seite 313]
37.6 - References [Seite 314]
38 - Do We Need Synchronization of the Human and Robotics to Make Industry 5.0 a Success Story? [Seite 316]
38.1 - Abstract [Seite 316]
38.2 - 1 Introduction [Seite 316]
38.3 - 2 Background [Seite 317]
38.3.1 - 2.1 Automation of Work [Seite 318]
38.3.2 - 2.2 Collaborative Robots (Cobots) [Seite 319]
38.3.3 - 2.3 Robocollaborators (Coboters) [Seite 320]
38.4 - 3 Systems and Theories [Seite 320]
38.4.1 - 3.1 Socio-Technical Methodology [Seite 320]
38.4.2 - 3.2 A Design Method: Reinventing Jobs [Seite 321]
38.4.3 - 3.3 Synchronising Cobots and Coboters [Seite 323]
38.5 - 4 An Industrial Proposal [Seite 323]
38.6 - 5 Conclusions [Seite 324]
38.7 - References [Seite 325]
39 - Evaluation of the Challenges of Companies in Industry 4.0 Transformation by GRA Method [Seite 326]
39.1 - Abstract [Seite 326]
39.2 - 1 Introduction [Seite 326]
39.3 - 2 Challenges of Companies in Industry 4.0 Transformation [Seite 327]
39.4 - 3 Methodology [Seite 331]
39.5 - 4 Data Analysis [Seite 333]
39.6 - 5 Conclusions [Seite 335]
39.7 - References [Seite 336]
40 - Industry 4.0 in Educational Process [Seite 338]
40.1 - Abstract [Seite 338]
40.2 - 1 Introduction [Seite 338]
40.3 - 2 Industry Requirements [Seite 339]
40.3.1 - 2.1 Requirements for the Area of Production Systems [Seite 340]
40.3.2 - 2.2 Qualification and Skills for Industry [Seite 341]
40.4 - 3 Implementation Phase [Seite 342]
40.4.1 - 3.1 Education in Production Systems [Seite 342]
40.4.2 - 3.2 Educational Concept [Seite 343]
40.5 - 4 Conclusions [Seite 345]
40.6 - Acknowledgment [Seite 345]
40.7 - References [Seite 345]
41 - Industry 4.0 vs. Society 5.0 [Seite 347]
41.1 - Abstract [Seite 347]
41.2 - 1 Introduction [Seite 347]
41.3 - 2 Industry 4.0 and Society 5.0 Joint Parameters [Seite 348]
41.3.1 - 2.1 Big Data [Seite 348]
41.3.2 - 2.2 Artificial Intelligence [Seite 349]
41.3.3 - 2.3 Internet of Things (IoT) [Seite 350]
41.3.4 - 2.4 Cloud Computing [Seite 350]
41.3.5 - 2.5 Human [Seite 351]
41.4 - 3 Industry 4.0 [Seite 351]
41.5 - 4 Society 5.0 [Seite 353]
41.6 - 5 Industry 4.0 vs. Society 5.0 [Seite 354]
41.7 - 6 Conclusions and Related Work [Seite 356]
41.8 - References [Seite 357]
42 - Intelligent Design and Advanced Precision Metrology on the Geometrical Structure of Medical Needles Based on GPS and ISO Standards [Seite 360]
42.1 - Abstract [Seite 360]
42.2 - 1 Introduction [Seite 361]
42.3 - 2 Methods and Theoretical Parts [Seite 362]
42.3.1 - 2.1 Purpose of Using Glass Pre-fillable Syringe with Needle G27 [Seite 362]
42.3.2 - 2.2 Injection Application Technique of Needle G27 of Glass Pre-fillable Syringe [Seite 363]
42.3.3 - 2.3 Functional Requirements and Specifications [Seite 363]
42.3.4 - 2.4 Production Process and Geometrical Definition [Seite 363]
42.3.5 - 2.5 Geometrical Product Specifications [Seite 365]
42.3.6 - 2.6 Micro and Macro Geometrical Assessment Through Measurement Device [Seite 367]
42.4 - 3 Results [Seite 368]
42.5 - 4 Conclusion and Prospect [Seite 374]
42.6 - References [Seite 375]
43 - Social and Ethical Aspects of Automation [Seite 377]
43.1 - Abstract [Seite 377]
43.2 - 1 Introduction [Seite 377]
43.3 - 2 Automation [Seite 378]
43.3.1 - 2.1 Production 4.(5).0 [Seite 378]
43.3.2 - 2.2 Humans in Manufacturing Automation [Seite 380]
43.4 - 3 Ethics [Seite 381]
43.5 - 4 Social Aspects [Seite 382]
43.5.1 - 4.1 Robocollaborators [Seite 382]
43.5.2 - 4.2 Legal Questions [Seite 383]
43.6 - 5 Summary and Outlook [Seite 385]
43.7 - References [Seite 386]
44 - Social Transformation - Industry 4.0 [Seite 387]
44.1 - Abstract [Seite 387]
44.2 - 1 Industry 4.0 [Seite 387]
44.3 - 2 The Door to Change [Seite 388]
44.4 - 3 How Prepared Are We for Change? [Seite 390]
44.4.1 - 3.1 Technological Knowledge Level [Seite 391]
44.4.2 - 3.2 Technological Development [Seite 391]
44.4.3 - 3.3 Digital Transformation Agility [Seite 391]
44.5 - 4 Society 5.0 [Seite 393]
44.6 - 5 Project Management [Seite 394]
44.7 - 6 The Effects of Change on Project Management [Seite 394]
44.8 - 7 Conclusion and Evaluation [Seite 395]
44.9 - References [Seite 396]
45 - Strategic Model Proposal Related to IoT Applications in Disaster Management [Seite 397]
45.1 - Abstract [Seite 397]
45.2 - 1 Introduction [Seite 397]
45.3 - 2 Disaster Management [Seite 398]
45.4 - 3 IoT [Seite 398]
45.5 - 4 Strategic Model Proposal to Disaster Management with IoT [Seite 399]
45.6 - 5 Conclusions [Seite 401]
45.7 - References [Seite 402]
46 - Usage and Applications of the Swarm Robotics Concept at Industrial Level [Seite 403]
46.1 - Abstract [Seite 403]
46.2 - 1 Introduction [Seite 403]
46.3 - 2 Swarm Robotics [Seite 404]
46.4 - 3 Definition of the Problem [Seite 405]
46.5 - 4 Related Works [Seite 405]
46.6 - 5 Method [Seite 405]
46.7 - 6 Application [Seite 407]
46.8 - 7 Conclusion [Seite 410]
46.9 - Acknowledgments [Seite 411]
46.10 - References [Seite 411]
47 - Information Management [Seite 412]
48 - Design of a Database Management System for Movie Recommendation Related to the History of Industrial Engineering for Courses [Seite 413]
48.1 - Abstract [Seite 413]
48.2 - 1 Introduction [Seite 413]
48.3 - 2 Using Movies as Educational Tools [Seite 415]
48.4 - 3 Database Management and Suggestion Systems Developed for Movies [Seite 416]
48.5 - 4 Method [Seite 416]
48.5.1 - 4.1 A Database Management System that Associates Education Topics with Movies and Suggests a Course [Seite 417]
48.5.2 - 4.2 The Database Is Created with the Determined Keywords and/or Terms [Seite 417]
48.5.3 - 4.3 Associating Courses, Terms, and Films by Establishing a Database [Seite 417]
48.5.4 - 4.4 Connecting Database and C# [Seite 417]
48.5.5 - 4.5 Building the Application Structure [Seite 418]
48.6 - 5 Application [Seite 418]
48.6.1 - 5.1 SQLite [Seite 418]
48.7 - 6 Conclusions [Seite 420]
48.8 - References [Seite 423]
49 - Process Mining Research in Management Science and Engineering Fields: The Period of 2010-2019 [Seite 425]
49.1 - Abstract [Seite 425]
49.2 - 1 Introduction [Seite 425]
49.3 - 2 Literature Review [Seite 426]
49.4 - 3 Methodology [Seite 428]
49.4.1 - 3.1 Aim of the Study and Research Questions [Seite 428]
49.4.2 - 3.2 Bibliometric Study and Data Collection [Seite 428]
49.5 - 4 Results [Seite 429]
49.5.1 - 4.1 Main Findings of Descriptive Publication Results [Seite 429]
49.5.2 - 4.2 Distribution of Articles by Years [Seite 430]
49.5.3 - 4.3 Journal and Source Frequency and Productivity [Seite 430]
49.5.4 - 4.4 Author's Productivity [Seite 431]
49.5.5 - 4.5 Organizations and Countries Productivity [Seite 431]
49.5.6 - 4.6 Citation Results [Seite 433]
49.6 - 5 Discussions and Conclusions [Seite 433]
49.7 - References [Seite 435]
50 - Lean Production [Seite 438]
51 - Waiting as Waste in Lean Production Processes [Seite 439]
51.1 - Abstract [Seite 439]
51.2 - 1 Introduction [Seite 439]
51.3 - 2 Model Construction [Seite 441]
51.3.1 - 2.1 Scheduling and Waiting [Seite 441]
51.3.2 - 2.2 Effects of Reduction of Waiting Time [Seite 442]
51.4 - 3 Discussion - Case Study [Seite 443]
51.5 - 4 Summary and Conclusions [Seite 446]
51.6 - References [Seite 446]
52 - Logistics Management [Seite 448]
53 - A Critical Review of Quality Function Deployment (QFD) Tool Through Logistics Centre Development Projects [Seite 449]
53.1 - Abstract [Seite 449]
53.2 - 1 Introduction [Seite 449]
53.2.1 - 1.1 What Is the Aim of This Symposium Paper? [Seite 449]
53.2.2 - 1.2 How Do We Describe a Logistics Centre? [Seite 450]
53.2.3 - 1.3 What Is the Contribution of This Study in Regards with a Logistics Centre Development Project? [Seite 450]
53.3 - 2 Review and Assessment Framework for QFD Processes [Seite 451]
53.3.1 - 2.1 Data Gathering: Converting VoC into Input for QFD Processes [Seite 451]
53.3.2 - 2.2 Relativeness and Connectivity Integrity of QFD Inputs [Seite 453]
53.3.3 - 2.3 Priority Check and Ranking the QFD Inputs [Seite 454]
53.3.4 - 2.4 Improving the QFD Processes [Seite 455]
53.3.5 - 2.5 Interpretation of QFD Process Outputs [Seite 456]
53.3.6 - 2.6 Maximizing the Benefits of QFD While Get Rid of the Means that Hinder the Ultimate Success [Seite 457]
53.3.7 - 2.7 How We Have Applied the Phases of QFD Methodology in a Logistics Centre Development Project? [Seite 458]
53.4 - 3 Conclusions [Seite 459]
53.5 - References [Seite 459]
54 - Two-Phase Fuzzy C-Means and Genetic Algorithm for Food Distribution [Seite 461]
54.1 - Abstract [Seite 461]
54.2 - 1 Introduction [Seite 461]
54.3 - 2 Problem Definition [Seite 463]
54.4 - 3 Proposed Algorithm [Seite 463]
54.5 - 4 Results [Seite 465]
54.6 - 5 Conclusion [Seite 467]
54.7 - References [Seite 467]
55 - Optimization [Seite 469]
56 - Modelling and Optimization of Dissimilar Welding Between 304L and HSLA-X70 Using Response Surface Methodology [Seite 470]
56.1 - Abstract [Seite 470]
56.2 - 1 Introduction [Seite 470]
56.3 - 2 Design of Experiments [Seite 471]
56.4 - 3 Results and Discussion [Seite 473]
56.4.1 - 3.1 Statistical Analysis [Seite 473]
56.4.2 - 3.2 Regression Equations [Seite 474]
56.4.3 - 3.3 Effect of Welding Parameters on Surface Response Factors [Seite 475]
56.5 - 4 Optimization of Welding Conditions [Seite 475]
56.6 - 5 Conclusions [Seite 478]
56.7 - References [Seite 478]
57 - Proposing a Pre-emptive Resource Constrained Project Scheduling Problem (PRCPSP) Model to Optimize Manpower and Project Delivery Time (A Case Study) [Seite 480]
57.1 - Abstract [Seite 480]
57.2 - 1 Introduction and Literature Review [Seite 480]
57.3 - 2 Problem Definition [Seite 481]
57.4 - 3 Numerical Results and Case Study [Seite 485]
57.5 - 4 Conclusions and Further Research [Seite 487]
57.6 - References [Seite 487]
58 - Process Management [Seite 488]
59 - Improvements in Manufacturing Processes by Measurement and Evaluation Studies According to the Quality Management System Standard in Automotive Industry [Seite 489]
59.1 - Abstract [Seite 489]
59.2 - 1 Introduction [Seite 490]
59.3 - 2 Measurement Systems Analysis (MSA) [Seite 490]
59.4 - 3 Application of Quantitative MSA [Seite 491]
59.5 - 4 Application of Qualitative MSA [Seite 494]
59.6 - 5 Conclusions [Seite 497]
59.7 - References [Seite 497]
60 - Improving Business Processes of Human Resources Departments in Turkish Technic Inc. [Seite 499]
60.1 - Abstract [Seite 499]
60.2 - 1 Introduction [Seite 499]
60.3 - 2 L?terature Rev?ew [Seite 500]
60.4 - 3 Methodology [Seite 503]
60.4.1 - 3.1 Constraints [Seite 503]
60.4.2 - 3.2 Analysis and Research [Seite 503]
60.4.3 - 3.3 Main Design [Seite 507]
60.5 - 4 Conclus?ons [Seite 508]
60.6 - References [Seite 509]
61 - Improving Manufacturing Process of Mobile Recorder [Seite 510]
61.1 - Abstract [Seite 510]
61.2 - 1 Introduction [Seite 510]
61.3 - 2 Material and Method [Seite 512]
61.3.1 - 2.1 Design of the Interior and Exterior Case [Seite 512]
61.3.2 - 2.2 Steps for the Production of Conventional Mobile Recorder [Seite 512]
61.3.3 - 2.3 Production of Planned Mobile Recorder [Seite 513]
61.4 - 3 Results and Discussion [Seite 514]
61.5 - 4 Conclusions [Seite 517]
61.6 - Acknowledgement [Seite 517]
61.7 - References [Seite 517]
62 - Manufacturing Process Development for Thin Film Filaments as a New Product [Seite 519]
62.1 - Abstract [Seite 519]
62.2 - 1 Introduction [Seite 519]
62.3 - 2 Experimental Method [Seite 522]
62.4 - 3 Results [Seite 523]
62.5 - 4 Conclusion [Seite 525]
62.6 - References [Seite 526]
63 - Modelling of the High-Chromium Cast Iron Surface Roughness [Seite 529]
63.1 - Abstract [Seite 529]
63.2 - 1 Introduction [Seite 529]
63.3 - 2 The Experiment [Seite 531]
63.4 - 3 Model Implementation and Discussion [Seite 535]
63.5 - 4 Conclusion [Seite 538]
63.6 - Acknowledgment [Seite 539]
63.7 - References [Seite 539]
64 - Productivity and Performance Management [Seite 541]
65 - A System Dynamics Model for Long-Term Performance Monitoring of Projects Related to Oil Production in Iran [Seite 542]
65.1 - Abstract [Seite 542]
65.2 - 1 Introduction and Literature Review [Seite 542]
65.3 - 2 Problem [Seite 543]
65.4 - 3 Model [Seite 543]
65.4.1 - 3.1 Variables and Reference Trends [Seite 544]
65.4.2 - 3.2 Stock-Flow Diagram [Seite 546]
65.5 - 4 Model Validation [Seite 547]
65.6 - 5 Result and Conclusion [Seite 548]
65.7 - References [Seite 550]
66 - An SME Examination on the Effect of Transition to Automation Systems on Production Performance [Seite 551]
66.1 - Abstract [Seite 551]
66.2 - 1 Introduction [Seite 552]
66.3 - 2 Production Performance [Seite 553]
66.4 - 3 Automation System [Seite 553]
66.5 - 4 Implementation [Seite 554]
66.5.1 - 4.1 Problems Experienced in Transition to Automation Systems [Seite 555]
66.5.2 - 4.2 Effect of Automation System on Production Performance [Seite 557]
66.6 - 5 Conclusion and Recommendations [Seite 560]
66.7 - Acknowledgements [Seite 561]
66.8 - References [Seite 561]
67 - Performance Evaluation in the Firms of Turkish Textile Sector [Seite 563]
67.1 - Abstract [Seite 563]
67.2 - 1 Introduction [Seite 563]
67.3 - 2 Literature Review [Seite 564]
67.4 - 3 Material and Method [Seite 565]
67.5 - 4 Results and Discussion [Seite 566]
67.6 - 5 Conclusion [Seite 571]
67.7 - References [Seite 572]
68 - Some Universities Performance Evaluation of Entrepreneurship and Innovation in Turkey with Multiple Criteria Decision Making Methods [Seite 574]
68.1 - Abstract [Seite 574]
68.2 - 1 Introduction [Seite 575]
68.3 - 2 Literature Research [Seite 577]
68.4 - 3 Purpose of the Research [Seite 579]
68.4.1 - 3.1 Methodology of the Study [Seite 579]
68.4.2 - 3.2 Data Used in the Research [Seite 580]
68.4.3 - 3.3 Evaluation of GYU Performance with Promethee GAIA Method [Seite 580]
68.5 - 4 Conclusions and Suggestions [Seite 585]
68.6 - References [Seite 587]
69 - Turkey and Some EU Countries' Economic Performance Analysis with Multi-criteria Decision Making Methods: Promethee GAIA Application [Seite 589]
69.1 - Abstract [Seite 589]
69.2 - 1 Introduction [Seite 590]
69.3 - 2 Literature Research [Seite 591]
69.4 - 3 Methodology of the Research [Seite 595]
69.4.1 - 3.1 Purpose of the Research [Seite 595]
69.4.2 - 3.2 Data and Method [Seite 595]
69.4.3 - 3.3 Evaluation of Economic Performance with PROMETHEE Method [Seite 596]
69.4.4 - 3.4 Comparison of Economic Performance of Countries [Seite 599]
69.5 - 4 Conclusion and Comments [Seite 600]
69.6 - References [Seite 601]
70 - Warehouse Planning for Maximum Area Efficiency in the White Goods Sector [Seite 603]
70.1 - Abstract [Seite 603]
70.2 - 1 Introduction [Seite 603]
70.3 - 2 Literature Review [Seite 604]
70.4 - 3 Application [Seite 605]
70.5 - 4 Results [Seite 607]
70.6 - 5 Future Studies and Suggestions [Seite 608]
70.7 - References [Seite 608]
71 - Quality Management [Seite 609]
72 - Geometric Tolerancing Analysis of Multi-material Components (MMCs) Obtained by Industrial X-Ray Computed Tomography [Seite 610]
72.1 - Abstract [Seite 610]
72.2 - 1 Introduction [Seite 610]
72.3 - 2 Literature Review [Seite 611]
72.4 - 3 Materials and Methods [Seite 611]
72.5 - 4 Results and Discussions [Seite 612]
72.6 - 5 Conclusions [Seite 615]
72.7 - Acknowledgements [Seite 615]
72.8 - References [Seite 615]
73 - Intelligent Test Automation for Improved Software Quality Assurance [Seite 617]
73.1 - Abstract [Seite 617]
73.2 - 1 Introduction: Quality Assurance and Testing [Seite 617]
73.3 - 2 Software Testing [Seite 618]
73.4 - 3 Automation: Intelligent Testing [Seite 619]
73.5 - 4 Current Challenges in Test Automation [Seite 620]
73.6 - 5 QiTASC Test Automation: Smart Testing [Seite 621]
73.6.1 - 5.1 Why intaQt Automation? [Seite 621]
73.6.2 - 5.2 Combining QiTASC Products to Achieve High Levels of Automation [Seite 623]
73.6.3 - 5.3 Complex and Multi-context Systems Can Easily Be Automated by intaQt [Seite 625]
73.6.4 - 5.4 Further Automation Possibilities in the Agenda [Seite 626]
73.7 - 6 Conclusion [Seite 626]
73.8 - References [Seite 626]
74 - The Role of Product Perceived Quality in Building Customer Behavioral Loyalty Across Retail Channels [Seite 628]
74.1 - Abstract [Seite 628]
74.2 - 1 Introduction [Seite 628]
74.3 - 2 Theoretical Background on Customer Loyalty, Role of Product Quality and Other Factors [Seite 630]
74.3.1 - 2.1 Customer Loyalty in Omnichannel Retail [Seite 630]
74.3.2 - 2.2 Product Quality and Loyalty [Seite 631]
74.4 - 3 Research Methodology [Seite 632]
74.4.1 - 3.1 Research Framework and Questions [Seite 632]
74.4.2 - 3.2 Research Method and Data [Seite 634]
74.5 - 4 Results [Seite 635]
74.5.1 - 4.1 Factors of Loyalty in Offline Channel [Seite 636]
74.5.2 - 4.2 Factors of Loyalty in Online Channel [Seite 638]
74.5.3 - 4.3 Summary of Results and Managerial Implications Concerning Product Quality Role in Building Behavioral Loyalty [Seite 638]
74.6 - 5 Conclusions and Discussion [Seite 640]
74.7 - References [Seite 641]
75 - R&D and Technology Management [Seite 644]
76 - Innovation Efficiency in Automotive Industry: The Case of Turkey [Seite 645]
76.1 - Abstract [Seite 645]
76.2 - 1 Introduction [Seite 645]
76.3 - 2 Literature Review [Seite 646]
76.4 - 3 Methodology [Seite 647]
76.4.1 - 3.1 CCR Model Results [Seite 650]
76.4.2 - 3.2 BCC Model Results [Seite 654]
76.5 - 4 Conclusions and Recommendations [Seite 658]
76.6 - References [Seite 659]
77 - Overview of Technology Commercialization Options in Romania [Seite 660]
77.1 - Abstract [Seite 660]
77.2 - 1 Introduction [Seite 660]
77.3 - 2 Context and Methodology [Seite 661]
77.4 - 3 Implementation of the Investigation Methodology and Main Results [Seite 662]
77.5 - 4 Discussion of Outcomes and Implication [Seite 664]
77.6 - 5 Conclusions [Seite 666]
77.7 - References [Seite 666]
78 - Risk Analysis and Management [Seite 667]
79 - Physical Asset Risk Management: A Case Study from an Asset-Intensive Organization [Seite 668]
79.1 - Abstract [Seite 668]
79.2 - 1 Introduction [Seite 668]
79.3 - 2 Literature Review [Seite 669]
79.4 - 3 Physical Asset Risk Management Process [Seite 669]
79.4.1 - 3.1 Determination of Physical Assets' Risks [Seite 670]
79.4.2 - 3.2 Determination of Critical Physical Assets' Risks [Seite 670]
79.4.3 - 3.3 Select RTPs [Seite 672]
79.5 - 4 Case Study [Seite 674]
79.5.1 - 4.1 Determination of PP's Physical Assets' Risks [Seite 675]
79.5.2 - 4.2 Determination of PP's Critical Risks Related to Physical Assets [Seite 675]
79.5.3 - 4.3 Select RTPs for PP's Physical Assets [Seite 677]
79.6 - 5 Conclusions [Seite 678]
79.7 - References [Seite 678]
80 - Risk Analysis Application for a Medical Device Manufacturer [Seite 680]
80.1 - Abstract [Seite 680]
80.2 - 1 Introduction and Purpose [Seite 680]
80.3 - 2 Basic Concepts [Seite 681]
80.4 - 3 Risk Management Process [Seite 682]
80.5 - 4 Risk Analysis Methods [Seite 682]
80.6 - 5 A Case Study on Risk Management Process [Seite 684]
80.7 - 6 Conclusion [Seite 690]
80.8 - References [Seite 690]
81 - Scheduling [Seite 691]
82 - Hybrid Flowshop Scheduling Problem at DrPaste [Seite 692]
82.1 - Abstract [Seite 692]
82.2 - 1 Introduction [Seite 692]
82.3 - 2 NP-Hardness of the Problem [Seite 694]
82.4 - 3 Production Environment [Seite 694]
82.5 - 4 Genetic Algorithm [Seite 697]
82.6 - 5 Actual Size Problem Data [Seite 700]
82.7 - 6 Small Size Problem [Seite 700]
82.8 - 7 Parameter Tuning [Seite 701]
82.9 - 8 Design of User Interface [Seite 702]
82.10 - 9 Conclusion [Seite 705]
82.11 - References [Seite 705]
83 - Service System Management [Seite 707]
84 - Effect of Gamification Applications on Individual Performance: Air Transportation Application [Seite 708]
84.1 - Abstract [Seite 708]
84.2 - 1 Introduction [Seite 708]
84.3 - 2 Gamification Background [Seite 709]
84.4 - 3 Proposed Model and Results [Seite 710]
84.5 - 4 Conclusions and Recommendations [Seite 714]
84.6 - References [Seite 715]
85 - Simulation and Modelling [Seite 717]
86 - A Brief General Industrial Virtual Reality Applications Overview Including a Simple Factory VR Simulation [Seite 718]
86.1 - Abstract [Seite 718]
86.2 - 1 Introduction [Seite 718]
86.2.1 - 1.1 Necessity of VR According to Industry 4.0 [Seite 718]
86.2.2 - 1.2 Digital Twinning for the Visualization Process [Seite 719]
86.3 - 2 A Brief Literature Review for Applications of VR [Seite 720]
86.3.1 - 2.1 Industrial VR Applications [Seite 720]
86.3.2 - 2.2 VR Applications in Industrial Education [Seite 722]
86.3.3 - 2.3 Other General VR Applications [Seite 724]
86.4 - 3 Experimental Procedure and Results of VR Workshop Simulation [Seite 725]
86.5 - 4 Conclusions [Seite 727]
86.6 - References [Seite 727]
87 - Investigation of the Efficiency of Vibration-Assisted Nano-Grinding with Molecular Dynamics [Seite 731]
87.1 - Abstract [Seite 731]
87.2 - 1 Introduction [Seite 731]
87.3 - 2 Methodology [Seite 734]
87.4 - 3 Results and Discussion [Seite 736]
87.5 - 4 Conclusions [Seite 740]
87.6 - References [Seite 740]
88 - Supply Chain Management [Seite 743]
89 - A New Approach to Location Routing Problem: Capacitated Periodic Location Routing Problem with Inventory [Seite 744]
89.1 - Abstract [Seite 744]
89.2 - 1 Introduction [Seite 744]
89.3 - 2 Literature [Seite 746]
89.4 - 3 Problem Definition [Seite 748]
89.5 - 4 Simulated Annealing for the CPRLPI [Seite 752]
89.6 - 5 Discussion [Seite 755]
89.7 - 6 Conclusion and Recommendations [Seite 757]
89.8 - Acknowledgment [Seite 757]
89.9 - References [Seite 757]
90 - Smart Manufacturing of Electric Vehicles [Seite 760]
90.1 - Abstract [Seite 760]
90.2 - 1 Introduction [Seite 761]
90.2.1 - 1.1 Mobility Needs and Trends [Seite 761]
90.3 - 2 Microfactory Concept [Seite 762]
90.3.1 - 2.1 Cleaner Energy Management [Seite 764]
90.3.2 - 2.2 Sustainable Supply Chain Model for Microfactory Network [Seite 765]
90.4 - 3 Conclusions [Seite 765]
90.5 - References [Seite 766]
91 - Capstone Projects [Seite 767]
92 - A Multi-sided and Multi-model Assembly Line Balancing Problem [Seite 768]
92.1 - Abstract [Seite 768]
92.2 - 1 Introduction [Seite 768]
92.3 - 2 Literature Review [Seite 770]
92.4 - 3 Problem Formulat?on [Seite 771]
92.5 - 4 Computational Results and Decision Support System [Seite 774]
92.5.1 - 4.1 Verification [Seite 774]
92.5.2 - 4.2 Validation and Improvements [Seite 774]
92.5.3 - 4.3 Sensitivity Analysis [Seite 776]
92.5.4 - 4.4 Decision Support System [Seite 778]
92.6 - 5 Conclusion [Seite 779]
92.7 - Acknowledgments [Seite 779]
92.8 - References [Seite 780]
93 - A Parallel Machine Scheduling Problem for a Plastic Injection Company [Seite 781]
93.1 - Abstract [Seite 781]
93.2 - 1 Introduction [Seite 781]
93.3 - 2 Problem Definition [Seite 782]
93.3.1 - 2.1 Current System Observations and Symptoms [Seite 782]
93.3.2 - 2.2 Problem Definition [Seite 783]
93.4 - 3 Literature Review [Seite 783]
93.5 - 4 Problem Formulation [Seite 785]
93.6 - 5 Solution Methodology [Seite 787]
93.7 - 6 Decision Support System [Seite 789]
93.8 - 7 Verification and Validation [Seite 791]
93.9 - 8 Conclusions [Seite 792]
93.10 - Acknowledgment [Seite 793]
93.11 - References [Seite 793]
94 - A Single Machine Job Scheduling Problem with Sequence Dependent Setup Times [Seite 795]
94.1 - Abstract [Seite 795]
94.2 - 1 Introduction [Seite 795]
94.3 - 2 Problem Definition and Literature Review [Seite 796]
94.4 - 3 Problem Formulation [Seite 797]
94.5 - 4 Heuristic Algorithms [Seite 799]
94.5.1 - 4.1 ATCS Rule Based Heuristic Algorithm [Seite 799]
94.5.2 - 4.2 EDD, WEDD, SPT and WSPT Rule based Heuristic Algorithms [Seite 802]
94.6 - 5 Computational Experiments [Seite 802]
94.6.1 - 5.1 Comparison of Algorithms with Respect to the Optimal Results [Seite 803]
94.6.2 - 5.2 Comparison of Algorithms with Time-Limited CPLEX [Seite 804]
94.7 - 6 Decision Support System [Seite 805]
94.8 - 7 Conclusion and Future Work [Seite 807]
94.9 - References [Seite 807]
95 - An Implementation of Flexible Job Shop Scheduling Problem in a Metal Processing Company [Seite 808]
95.1 - Abstract [Seite 808]
95.2 - 1 Introduction [Seite 808]
95.3 - 2 Problem Definition [Seite 809]
95.3.1 - 2.1 Data Analysis [Seite 810]
95.3.2 - 2.2 System Analysis [Seite 810]
95.4 - 3 Literature Review [Seite 812]
95.5 - 4 Solution Methodology [Seite 813]
95.5.1 - 4.1 Mathematical Model [Seite 813]
95.5.2 - 4.2 Heuristic Algorithm [Seite 815]
95.6 - 5 Verification, Validation and Computational Results [Seite 818]
95.6.1 - 5.1 Real Data [Seite 819]
95.6.2 - 5.2 Hypothesis Testing [Seite 820]
95.7 - 6 Conclusion [Seite 820]
95.8 - Acknowledgment [Seite 821]
95.9 - References [Seite 821]
96 - Analysis and Improvement of Employee Transportation System [Seite 822]
96.1 - Abstract [Seite 822]
96.2 - 1 Introduction [Seite 822]
96.3 - 2 Problem Definition [Seite 823]
96.3.1 - 2.1 Current System and Symptoms of the Problem [Seite 823]
96.3.2 - 2.2 Problem Definition [Seite 823]
96.4 - 3 Literature Review [Seite 824]
96.5 - 4 Problem Formulation [Seite 825]
96.6 - 5 Solution Methodology [Seite 827]
96.7 - 6 Computational Results [Seite 829]
96.8 - 7 Conclusions [Seite 831]
96.9 - References [Seite 831]
97 - Container Demand Forecasting Using Machine Learning Methods: A Real Case Study from Turkey [Seite 833]
97.1 - Abstract [Seite 833]
97.2 - 1 Introduction [Seite 833]
97.3 - 2 Literature Review [Seite 834]
97.4 - 3 Problem Definition [Seite 836]
97.5 - 4 Methodology [Seite 837]
97.5.1 - 4.1 Machine Learning [Seite 837]
97.5.1.1 - 4.1.1 Artificial Neural Networks (ANN) [Seite 837]
97.5.1.2 - 4.1.2 Decision Trees [Seite 838]
97.5.1.3 - 4.1.3 Decision Forest/Random Forest (RF) [Seite 838]
97.5.2 - 4.2 Linear Regression [Seite 838]
97.5.3 - 4.3 Performance Metrics to Evaluate Forecasting Models [Seite 839]
97.5.3.1 - 4.3.1 Mean Absolute Error (MAE) [Seite 839]
97.5.3.2 - 4.3.2 Root Mean Square Error (RMSE) [Seite 839]
97.5.3.3 - 4.3.3 Relative Absolute Error (RAE) [Seite 839]
97.5.3.4 - 4.3.4 Relative Squared Error (RSE) [Seite 839]
97.5.3.5 - 4.3.5 Coefficient of Determination (R2) [Seite 840]
97.6 - 5 Results [Seite 840]
97.7 - 6 Conclusion [Seite 841]
97.8 - Acknowledgment [Seite 842]
97.9 - References [Seite 842]
98 - Customer Order Scheduling in Hybrid Flow Shop Manufacturing System [Seite 844]
98.1 - Abstract [Seite 844]
98.2 - 1 Introduction [Seite 844]
98.3 - 2 Problem Definition [Seite 845]
98.4 - 3 Literature Review [Seite 846]
98.5 - 4 Modeling and Solution Methodology [Seite 846]
98.5.1 - 4.1 Limitations and Assumptions [Seite 846]
98.5.2 - 4.2 Mathematical Model [Seite 847]
98.5.3 - 4.3 Genetic Algorithm [Seite 849]
98.6 - 5 Verification and Validation [Seite 850]
98.7 - 6 Decision Support System and Computational Results [Seite 852]
98.7.1 - 6.1 Decision Support System (DSS) [Seite 852]
98.7.2 - 6.2 Computational Results [Seite 854]
98.8 - 7 Conclusions and Future Work [Seite 855]
98.9 - Acknowledgements [Seite 856]
98.10 - References [Seite 856]
99 - Development of Hydraulic Drive Railway Bearings Installation System [Seite 857]
99.1 - Abstract [Seite 857]
99.2 - 1 Introduction [Seite 857]
99.3 - 2 Material and Method [Seite 858]
99.3.1 - 2.1 Material of Pipe of Hydraulic Cylinder and Mounting-Dismounting Fixtures [Seite 858]
99.4 - 3 Method [Seite 859]
99.5 - 4 Results and Discussion [Seite 861]
99.5.1 - 4.1 Design of Hydraulic Drive Railway Bearings Installation System [Seite 861]
99.5.2 - 4.2 Static Structural Analysis [Seite 862]
99.5.3 - 4.3 Manufacturing [Seite 864]
99.6 - 5 Conclusion [Seite 865]
99.7 - Acknowledgment [Seite 865]
99.8 - References [Seite 866]
100 - Improving the Operations in a Logistics Company: A Case Study in Turkey [Seite 867]
100.1 - Abstract [Seite 867]
100.2 - 1 Introduction [Seite 867]
100.3 - 2 Literature Review [Seite 868]
100.4 - 3 QFD Methodology [Seite 870]
100.5 - 4 Implementation of the Study [Seite 872]
100.6 - 5 Discussions and Conclusion [Seite 876]
100.7 - References [Seite 877]
101 - Improving the Throughput of Pipe and Tube Production: A Case Study [Seite 879]
101.1 - Abstract [Seite 879]
101.2 - 1 Introduction [Seite 879]
101.3 - 2 Literature Review [Seite 880]
101.4 - 3 Problem Formulation [Seite 881]
101.5 - 4 Solution Methodology [Seite 883]
101.6 - 5 Computational Results [Seite 885]
101.6.1 - 5.1 WIP Study [Seite 885]
101.6.2 - 5.2 Layout Optimization [Seite 886]
101.7 - 6 Conclusion [Seite 889]
101.8 - Acknowledgment [Seite 890]
101.9 - References [Seite 890]
102 - Integrated Transportation and Packaging Problem Modeling and Application [Seite 891]
102.1 - Abstract [Seite 891]
102.2 - 1 Introduction [Seite 891]
102.3 - 2 Literature Review [Seite 892]
102.4 - 3 Problem Formulation [Seite 893]
102.5 - 4 Heuristic Algorithm [Seite 897]
102.6 - 5 Computational Results [Seite 899]
102.7 - 6 Decision Support System [Seite 900]
102.8 - 7 Conclusion and Future Work [Seite 902]
102.9 - Acknowledgments [Seite 903]
102.10 - References [Seite 903]
103 - Lean Warehouse Application in a Meat Producer Company [Seite 905]
103.1 - Abstract [Seite 905]
103.2 - 1 Introduction [Seite 905]
103.3 - 2 Observations and System [Seite 906]
103.4 - 3 Problem Definition [Seite 907]
103.5 - 4 Literature Review [Seite 908]
103.5.1 - 4.1 Lean Management [Seite 908]
103.5.2 - 4.2 Value Stream Mapping [Seite 910]
103.6 - 5 Methodology [Seite 910]
103.6.1 - 5.1 Proposed Methodology: ABC Analysis [Seite 910]
103.6.2 - 5.2 Current State Map [Seite 914]
103.6.3 - 5.3 Future State Map [Seite 916]
103.7 - 6 Conclusion [Seite 917]
103.8 - References [Seite 918]
104 - Location Optimization of Receivers for IoT- Based Infrastructures [Seite 921]
104.1 - Abstract [Seite 921]
104.2 - 1 Introduction [Seite 921]
104.3 - 2 Literature Review [Seite 923]
104.4 - 3 Problem Formulation [Seite 924]
104.4.1 - 3.1 Mathematical Modeling [Seite 925]
104.5 - 4 Computational Results [Seite 930]
104.6 - 5 Decision Support System [Seite 930]
104.7 - 6 Conclusions [Seite 932]
104.8 - References [Seite 932]
105 - Makespan Minimization in Manufacturing Process of a Company [Seite 934]
105.1 - Abstract [Seite 934]
105.2 - 1 Introduction [Seite 934]
105.3 - 2 Literature Review [Seite 935]
105.4 - 3 Methodology and Modelling [Seite 936]
105.5 - 4 Result of the Mathematical Modeling [Seite 940]
105.6 - 5 Conclusion [Seite 940]
105.7 - References [Seite 940]
106 - Multi Model Multiple Line Balancing Problem Modeling and Real-Life Application [Seite 942]
106.1 - Abstract [Seite 942]
106.2 - 1 Introduction [Seite 942]
106.3 - 2 Problem Definition [Seite 943]
106.4 - 3 Literature Review [Seite 944]
106.5 - 4 Solution Methodology [Seite 945]
106.5.1 - 4.1 Assignment Algorithm [Seite 945]
106.5.2 - 4.2 Mathematical Model [Seite 947]
106.6 - 5 The Computational Results and Implementation [Seite 949]
106.7 - 6 Decision Support System [Seite 950]
106.8 - 7 Conclusion and Future Work [Seite 951]
106.9 - Acknowledgment [Seite 952]
106.10 - References [Seite 952]
107 - Quantitative Analysis of Stakeholder Perspective on the University-Industry-Government Collaboration in ?zmir, Turkey [Seite 954]
107.1 - Abstract [Seite 954]
107.2 - 1 Introduction [Seite 954]
107.3 - 2 Literature Review [Seite 955]
107.4 - 3 Methodology [Seite 958]
107.5 - 4 Analysis and Findings [Seite 960]
107.6 - 5 Conclusions [Seite 963]
107.7 - Acknowledgment [Seite 963]
107.8 - References [Seite 963]
108 - Parcel Delivery Service Quality Assessment [Seite 966]
108.1 - Abstract [Seite 966]
108.2 - 1 Introduction [Seite 966]
108.3 - 2 Literature Review [Seite 967]
108.4 - 3 Methodology [Seite 968]
108.4.1 - 3.1 Description of the SERVQUAL Method [Seite 968]
108.4.2 - 3.2 Description of the KANO Method [Seite 969]
108.4.3 - 3.3 Survey Development [Seite 970]
108.4.4 - 3.4 Participants [Seite 970]
108.5 - 4 Findings [Seite 971]
108.5.1 - 4.1 SERVQUAL Findings [Seite 971]
108.5.2 - 4.2 Kano Findings [Seite 973]
108.6 - 5 Conclusion [Seite 976]
108.7 - References [Seite 977]
109 - Production Scheduling at a Powder Coating Company [Seite 980]
109.1 - Abstract [Seite 980]
109.2 - 1 Introduction [Seite 980]
109.3 - 2 Problem Formulation and Solution Methodology [Seite 981]
109.3.1 - 2.1 Mathematical Model [Seite 982]
109.3.2 - 2.2 Genetic Algorithm [Seite 985]
109.3.3 - 2.3 Rule-Based Heuristic [Seite 987]
109.3.4 - 2.4 Simulation Model [Seite 989]
109.3.5 - 2.5 Validation and Verification [Seite 989]
109.4 - 3 Conclusion [Seite 991]
109.5 - Acknowledgment [Seite 991]
109.6 - References [Seite 992]
110 - Ranking of Private Turkish Universities: Proposal of New Indicators [Seite 993]
110.1 - Abstract [Seite 993]
110.2 - 1 Introduction [Seite 993]
110.3 - 2 Worldwide University Rankings [Seite 995]
110.4 - 3 New Indicators Weights and the Methodology of UL Ranking [Seite 1000]
110.4.1 - 3.1 Indicators and Weights of UL Ranking [Seite 1000]
110.4.2 - 3.2 The methodology of UL Ranking [Seite 1001]
110.5 - 4 Results and Analysis [Seite 1002]
110.6 - 5 Conclusions [Seite 1003]
110.7 - Acknowledgment [Seite 1003]
110.8 - References [Seite 1003]
111 - Author Index [Seite 1006]
