Intelligent Systems in Production Engineering and Maintenance - ISPEM 2017

Name: Intelligent Systems in Production Engineering and Maintenance - ISPEM 2017 | Proceedings of the First International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017
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Proceedings of the First International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017

Anna Burduk Dariusz Mazurkiewicz(Editor)

Springer (Publisher)

Published on 16. August 2017

XVII, 470 pages

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978-3-319-64465-3 (ISBN)

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Content

Intro
Preface
Organization
Contents
Sesion Separator "Intelligent Systems in Maintenance"
A Concept of an IT Tool for Supporting Knowledge Transfer Among Facility Maintenance Employees as Pa ...
Abstract
1 Introduction
2 General Outline of the Proposed Tool's Functionality
3 Database Structure
4 Summary
Acknowledgements
References
An Intelligent System Supporting a Forklifts Maintenance Process
Abstract
1 Introduction
2 A Case Study
2.1 Structure of Forklifts Classification
2.2 Analyses of the Frequency of Maintenance Activities
2.3 Fuzzy Logic in Support of FoMT Determination
2.4 Analysis, Results and Discussion
3 Conclusions
References
An Intelligent System Supporting a Maintenance Process of Specialised Medical Equipment
Abstract
1 Introduction
2 Analysis of the Data Concerning Medical Equipment Failures
3 Risk of Failures Assessment
3.1 Fuzzy Interference Process
3.2 Parameters for the Proposed FIS
3.3 Analysis, Results and Discussion
4 Conclusions
References
Enabling Round-Trip Engineering Between P&I Diagrams and Augmented Reality Work Instructions in Main ...
Abstract
1 Introduction
2 Aims and Requirements
3 Concept
4 Prototype Implementation and Validation
5 Conclusion
References
Incident Detection in Industrial Processes Utilizing Machine Learning Techniques
Abstract
1 Introduction
2 Classification Methods - Machine Learning Algorithms
2.1 Support Vector Machines (SVM)
2.1.1 Radial Basis Function (RBF) Kernel
2.1.2 Polynomial Function (POLY) Kernel
2.2 Naive-Bayes (NB)
2.3 Logistic Regression (LR)
2.4 Decision Trees (DT)
2.5 Random Forest (RF)
2.6 Adaptive Boosting (AdaBoost)
3 Evaluation Measures - Boosting Algorithm
4 Setup of the Fault Detection Analysis Method
4.1 Data Pre-processing
4.2 Labeling
4.3 Monte Carlo Simulation - Cross-Validation
4.3.1 Support Vector Machines
4.3.2 Decision Trees - Random Forests
4.3.3 Naive Bayes - Logistic Regression
4.3.4 Adaptive Boosting Algorithm
4.4 Simulation Results
5 Conclusions
Acknowledgement
References
Intelligent Systems of Forecasting the Failure of Machinery Park and Supporting Fulfilment of Orders ...
Abstract
1 Among the Source Development Factors Contributing to the Definition of the Currently Developing Co ...
2 Internet of Things and Cyber-Physical Systems in the Industrial Plants
3 Algorithm of Prediction of Failure with the Use of CPPS and IIoT
4 Example Application of an Algorithm
5 Summary and Conclusions
References
SmartMaintenance - The Concept of Supporting the Exploitation Decision-Making Process in the Selecte ...
Abstract
1 Introduction
2 The Assumptions of the SmartMaintenance Concept
3 Computer-Aided Under the SmartMaintenance Concept
4 Computer-Aided Under the SmartMaintenance Concept - Case Study
4.1 The Multi-model of the Technical Network System
4.2 The Taxonomic Model of the Assessment of the Exploitation Policy
4.3 The Scenario Model of the Exploitation Decision-Making Process
5 Conclusions
Acknowledgements
References
Use of Intelligent Informatics Module for Registration and Assessment of Causes of Breaks in Selected Mining Machines
Abstract
1 Introduction
2 Determination of the Effectiveness of the Studied Set of Machines
3 The Characteristics of the Intelligent Module for the Registration of the Causes of the Breaks in the Studied Machines' Work
4 Analysis of the Causes of the Breaks in the Studied Machines' Work
5 Conclusions
Acknowledgment
References
Using a Simulation Method for Intelligent Maintenance Management
Abstract
1 Introduction
2 The Model for the Intelligent Maintenance-Management System (IMMS)
3 The Results of Simulation Research and Outlines for the IMMS
4 Conclusions
References
Sesion Separator "Intelligent Systems in Production Engineering"
A Heuristic and Simulation Hybrid Approach for Mixed and Multi Model Assembly Line Balancing
Abstract
1 Introduction
2 Flexible Continuous Flow
3 Mixed Model Assembly Line Balancing Problem
3.1 Heuristic Algorithms in Assembly Line Balancing Problem
4 Data-Driven Automatic Simulation Models Generation
5 Practical Implementation Example
6 Conclusions
References
A New Petri Nets Based Approach for Modeling of Discrete Manufacturing System
Abstract
1 Introduction
2 Literature Review: The Subsystems of a Manufacturing System
2.1 The Physical System
2.2 The Decision-Making System (DMS)
2.3 Interaction Between O-DMS and iP-DMS
3 The Classical Approaches for Developing Petri Net Models of Manufacturing Systems
3.1 Modeling by the Classical Approach: An Example
3.2 The Control Places
4 A New Approach
4.1 Activity-Oriented Petri Nets (AOPN)
4.2 Phase-I: Developing the Static Petri Net Model
4.3 Phase-II: Developing the Run-Time Model
4.4 GPenSIM Code for Simulations
4.5 Simulation Results
5 Discussion
6 Conclusion
Acknowledgement
References
Algorithm of Autonomic Shaping of Workflow
Abstract
1 Introduction
2 Characteristics of Analyzed System
3 Shaping of Workflow of i - production Process
3.1 Balancing Production Line
4 Conclusion
References
An Intelligent System for Core-Competence Identification for Industry 4.0 Based on Research Results ...
Abstract
1 Introduction
2 Core Competences for Industry 4.0
3 The Concept of an Intelligent System for Core-Competence Identification for Industry 4.0
4 An Intelligent System for Core-Competence Identification for Industry 4.0 (IS-CI)
5 Conclusions
References
An Optimization Approach for Scheduling and Lot Sizing Problems in Electromechanical Industry Using ...
Abstract
1 Introduction
2 Application of Genetic Algorithms (GA) in the Area of Lot Sizing and Scheduling
2.1 Trends in the Models for Determining the Lot Size and Scheduling
2.2 The Review of Selected Methods Applying GA in Lot Sizing and Scheduling Problems
3 Characteristics of Problem Area
4 Description of the Algorithm
5 Results of the Simulation
6 Conclusions
References
Application of Neural-Fuzzy System in Prediction of Methane Hazard
Abstract
1 Introduction
2 Neuro-fuzzy Networks
2.1 Fuzzy Models
2.2 Neuro-fuzzy Systems
2.3 Creation of a Fuzzy System on the Basis of Numeric Data
3 ANFIS
4 Example of Creation and Training of Neuro-fuzzy Network with Use of the ANFIS Interface
5 Summary
References
Application of Support Vector Machine for Determination of Impact of Traffic-Induced Vibrations on B ...
Abstract
1 Traffic-Induced Vibrations
2 Application of Support Vector Machine
3 Results and Closing Remarks
References
Artificial Neural Networks as a Means for Making Process Control Charts User Friendly
Abstract
1 Introduction
2 Process Control Charts Analysis with the Use of Artificial Neural Networks
3 Pattern Recognition on Control Charts - Comparative Study
4 Conclusions
Acknowledgements
References
Assessment of the Feasibility of a Production Plan with the Use of an Artificial Neural Network Model
Abstract
1 Introduction
2 Method of Building the ANN Model for Assessing the Feasibility of the Flywheel Production Plan
2.1 Characteristics of the Flywheel Production Process
2.2 Characteristics of the Flywheel Production Process
2.3 The Purpose and Method of Building the Artificial Neural Network
3 Predicting the Feasibility of the Production Plan with the Use of a Neural Network with 64 Neurons ...
4 Summary
References
Autocorrelation Analysis of Cu Content in Ore Streams in One of KGHM Polska Miedz S.A. Mines
Abstract
1 Introduction
2 Possibility to Improve Metal Recovery and Reduce Energy in Processing Plant
3 Autocorrelation in Ore Feed
4 Autocorrelation in Ore Stream on the Sectional and Transfer Conveyor
5 Conclusions
Acknowledgements
References
Binary Linear Programming as a Decision-Making Aid for Water Intake Operators
Abstract
1 Introduction
2 Object Description
3 Methodology
4 Results and Discussion
5 Conclusions
References
Competence-Based Performance Analysis of U-Shaped Assembly Lines
Abstract
1 Introduction and Literature Review
2 Competence Modelling
3 Case Study - Modified Jackson's Problem
4 Simulation Results
5 Conclusions
References
Decision Support System for Rapid Production Order Planning in Production Network
Abstract
1 Introduction
2 A Concept of the Proposed Solution
3 Production Order Planning in the Production Network - Case Study
4 A Prototype of the Computer System of Production Network Planning
5 Conclusion
References
Durability of Supply Chains as Non-renewable Systems
Abstract
1 Introduction
2 Basic Concepts Related to Non-renewable Systems
3 Simulation Model
4 Results of the Survival Analysis
5 Conclusion
References
Dynamic Spaghetti Diagrams. A Case Study of Pilot RTLS Implementation
Abstract
1 Introduction
2 Real Time Locating Systems
2.1 Definition
2.2 Applications
3 Pilot RTLS Implementation
3.1 Framework
3.2 Definition of Needs
3.3 Chosen System
3.4 Installation
3.5 Software for Dynamic Spaghetti Diagrams
3.6 Results
4 Conclusions
Acknowledgments
References
Information Management and Decision Making Supported by an Intelligence System in Kitchen Fronts Control Process
Abstract
1 Introduction
2 Cyber-Physical Systems for Performance Measurement
3 Description of the Problem
4 CPS-Oriented and Agent-Based Supervised Quality and Efficiency Control Structure and Methodology
5 Conclusions
References
Integer Linear Programming in Optimization of Waste After Cutting in the Furniture Manufacturing
Abstract
1 Introduction
2 The Problem Presentation and Discussion
3 Problem Cases Formulation and Methodology
3.1 Problem Case 1
3.2 Problem Case 2
4 Results and Discussion
5 Summary and Conclusions
References
Kanban System in the Flow Control Subassemblies as a Component of Lean Manufacturing
Abstract
1 Introduction
2 Research Object and Tasks to Be Executed
3 Analysis of Initial Tasks
4 Efficiency Analysis for the Producer Line
5 Conclusions
References
Modeling and Analyzing Performance of a Production Unit Using Dynamic Bayesian Networks
Abstract
1 Introduction and Statement of the Problem
1.1 General Consideration and Literature Review
1.2 Problem Statement
2 Dynamic Bayesian Networks
3 Production Unit Performance Model Formulation
3.1 Model of the Machine
3.2 Model of the Buffers
3.3 Models of the Material Handling Systems
3.4 Model of the Production Unit and Performance Measures
3.5 Discussion About the Model and Modeling Tool
3.6 Illustrative Application
4 Conclusion
References
Modelling and Forecasting the Sludge Bulking in Biological Reactors of Wastewater Treatment Plants b ...
Abstract
1 Introduction
2 Object of Investigation
3 Description of the Modeling Methods Used
4 Modelling results
5 Conclusions
References
Modelling and Recycling-Oriented Assessment of Household Appliances
Abstract
1 Eco-Design
2 Eco-Design in Corporate Environment
3 Product Modelling and Recycling-Oriented Analysis in CAD 3D System
4 Recycling-Oriented Assessment of Selected Household Appliances
5 Summary
References
Multi-agent Meta-model of a Non-cooperative Game in a Virtual Manufacturing Network
Abstract
1 Introduction
2 Multi-agent Approach
3 Problem Definition
4 Multi-agent Model of VM Network
5 Conclusion
References
Multivariate Process Capability, Process Validation and Risk Analytics Based on Product Characteristic Sets: Case Study Piston Rod
Abstract
1 Introduction
2 Focus and Goal of the Research Work
3 Case Study Piston Rod: Characteristic Set and Functionality
4 State of the Art: Process Capability Index (PCI)
5 Correlation of Product Characteristics
6 Multidimensional Process Analysis: Distribution and Failure Probability
6.1 Application of Boolean Algebra Based on Failure Probabilities Regarding Each Product Characteristic
6.2 Application of Multidimensional Distribution Models Based on a Set of Important Product Characteristics
6.3 Estimation of Failure Probability Regarding a Characteristic Set Based on Monte Carlo Simulations
6.4 Case Study: Piston Rod, Exemplary Failure Probability
7 Estimation MPCI: Link Between Failure Probability and Cpk
8 Conclusion
References
Outline placeholder
Abstract
1 Introduction
2 Production Process
3 Problem Formulation
4 Algorithm
5 Results
6 Conclusion
References
Optimization of the Supply of Components for Mass Production with the Use of the Ant Colony Algorithm
Abstract
1 Introduction
1.1 Milk Run Concept in Components Delivery
2 Model and Problem Formulation
3 Ant Colony Algorithm
4 Experiments
4.1 Tuning of Ant Colony Algorithm
4.2 Case Study
5 Conclusion
References
Predictive Scheduling as a Part of Intelligent Job Scheduling System
Abstract
1 Introduction
2 Multi-machine Job Scheduling in Production Systems
3 Intelligent Scheduling in the Production System
4 Predictive Scheduling with Two-Factor Uncertainty
4.1 Assumptions in the Analysed Production Process
4.2 Input Data
4.3 Objective Function
4.4 Selection of Scheduling Method
4.5 Simulation of Production
4.6 Results of Simulation
5 Conclusion
References
Process Assessment of Risks in the Production Company with the Use of Linguistic Variables and the FMEA Analysis
Abstract
1 Introduction
2 Literature Review
3 Process Assessment of Risks in the Production Company
4 Risk Assessment for the Production Company from Automotive Sector - Case Study
5 Summary
References
Production Costs of Machine Elements Estimated in the Design Phase
Abstract
1 Introduction
2 Assumptions of the Methodology
3 An Example of Cost Estimation on the Stage of Machine Elements Design
4 Estimating Costs of an Element Basing on Corrected Variant Set of Cost Drivers' Values
5 Conclusions
References
Reliability Assessment of Production Process - Markov Modelling Approach
Abstract
1 Introduction
2 Production Process Reliability Assessment with Markov Approach Use - Literature Review
3 Markov Model for Production Process Performance
3.1 Production Process Reliability Definition
3.2 Seven-State Markov Model
4 Sensitivity Analysis of the Developed Markov Model
4.1 Assumptions for Detailed Sensitivity Analysis
4.2 Preliminary Sensitivity Analysis for Availability Ratio
4.3 New Markov Model and Its Sensitivity Analysis
5 Conclusions
References
Soft Modelling-Based Methodology of Raw Material Waste Estimation
Abstract
1 Introduction
2 Research Problem
3 Results
3.1 Soft Modeling-Based Waste Estimation Methodology
3.2 Implementation of The Methodology
4 Discussion and Conclusions
Acknowledgement
References
Study on Tracking the Mined Ore Compound with the Use of Process Analytic Technology Tags
Abstract
1 Introduction
2 Copper Ore Lithology Identification
3 Ore Tracking System Prerequisites and Challenges
4 The Proposed Workflow of the Ore Tracking System
5 Final Remarks
Acknowledgement
References
The Use of Neural Network Model in the Assessment of Annoyance of the Industrial Noise Sources
Abstract
1 Introduction
2 Measures Described Acoustic Quality
3 The Problem of the Assessment of the Noise Annoyance
4 The Assessment of the Mobile Noise Annoyance: A Case Study
4.1 Psychoacoustic Experiment of the Assessment of the Noise Annoyance
4.2 Determination of the Psychoacoustic Measures of the Noise Annoyance Assessment
4.3 Discussion of the Results
5 Modelling Noise Annoyance with the Use of Neural Network
6 Conclusions
Acknowledgements
References
Transport Trolley Control in a Manufacturing System Using Simulation with the FSAW, FWASPAS and FTOPSIS Methods
Abstract
1 Introduction
2 The Fuzzy Multi-Criteria Decision Making Methods: FSAW, FWASPAS and FTOPSIS
2.1 The FSAW Method
2.2 The FWASPAS Method
2.3 The FTOPSIS Method
3 Application of the FSAW, FWASPAS, and FTOPSIS Methods to the Control of a Transport Trolley
3.1 Problem Statement and Its Solution
3.2 Results and Discussion
4 Conclusions
References
Virtual Reality Production Training System in the Scope of Intelligent Factory
Abstract
1 Introduction
2 Literature Overview
3 Aim of the Work
4 SmartFactory Laboratory
5 Virtual Reality Training System Development
6 Virtual Reality Prototype Training Environment
7 Conclusions
References
Water Consumption Prediction for City Pumping Station Using Neural Networks
Abstract
1 Introduction
2 The Basis for Water Consumption Prediction
3 Prediction of Water Consumption
4 Practical Results
5 Conclusions
References
Erratum to: Water Consumption Prediction for City Pumping Station Using Neural Networks
Erratum to: Chapter "Water Consumption Prediction for City Pumping Station Using Neural Networks" in: A. Burduk and D. Mazurkiewicz (eds.), Intelligent Systems in Production Engineering and Maintenance - ISPEM 2017, Advances in Intelligent Systems and Computing 637, https://doi.org/10.1007/978-3-319-64465-3_44
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Intelligent Systems in Production Engineering and Maintenance - ISPEM 2017

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