AI-Driven Production with Green Sustainability
Description
This book consists of selected papers presented at the 25th International Symposium for Production Research (ISPR2025), held from 9 to 11 October 2025 in a hybrid format. The first day took place face-to-face at Istanbul Technical University, Türkiye, with participants and speakers attending in person, while the subsequent days were conducted virtually. The symposium centered on the overarching theme of "AI-Driven Production with Green Sustainability." It was organized by the Society for Production Research, Istanbul Technical University, Türkiye, and TU Wien, Austria. The symposium marks the ninth consecutive year of collaboration between the Society for Production Research, Istanbul, and TU Wien, Austria.
The generic theme of "Industry 4.0" was first adopted at the 2016 symposium and maintained throughout the following eight events in 2017, 2018, 2019, 2020, 2021, 2022, 2023 and 2024, each year incorporating updated perspectives on emerging developments and progress related to this theme.
This year, the conference comes together with the theme "AI-Driven Production with Green Sustainability," emphasizing the transformative role of artificial intelligence in shaping environmentally responsible industrial systems. Within the framework of Industry 5.0, the integration of smart technologies enables more efficient, adaptive, and low-impact production processes. AI supports predictive analytics, optimized resource management, and real-time monitoring, all contributing to reduced emissions and waste. As we advance toward a circular economy, our collective efforts focus on innovations that align technological progress with ecological responsibility, driving sustainable growth across global value chains.
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Persons
Professor Dr. Numan M. Durakbasa graduated from TU Wien - Cum-laude doctors degree in Production engineering and Metrology. From 1997 - 2020 Head of "High Precision Measurement and Nanotechnology Laboratory" at TU Wien, from 2006 - 2019 Head of the Department for "Interchangeable Manufacturing and Industrial Metrology" and from 2019 - 2020 Head of Research Group "Production Metrology and Adaptronic Systems". He has been awarded the degree of Doctor honoris causa and Professor honoris causa. His research area includes: Geometrical Product Specification and Verification, Production Engineering, Quality management, Integrated Management Systems, Assessment, Certification, Calibration, Accreditation, Precision Engineering, Micro and Nanotechnology, Industry 4.0, Industry 5.0, Smart Factory, AI, Education as well as Training and Certification of Quality professionals, Metrology, Inspection, Calibration, Traceability, Precision metrology laboratory, test artifacts, Laboratory accreditation, Accreditation of System Certification Bodies, Nanotechnology and Nanometrology.
Hatice Camgöz Akdag started her academic career by graduating from Bogaziçi University, Department of Business Administration, and completed her MA in Eastern Mediterranean University (TRNC) with an MBA program and her PhD in Quality Management at Brunel University, Faculty of Engineering. Since 2020, she has been serving as the Head of the Department of Business Engineering at Istanbul Technical University (ITU). In her academic and administrative career, she has worked in critical roles such as ITU Rector's Advisor (2016-2020), ITU Career Center President (2018-2020), ITU Health Systems Management Program President (2016-present) and ITU Quality Coordinator (2016-2017, 2019-2020). She is also the owner and coordinator of the Sustainability Management Specialization Certificate Program within ITUSEM. Her research interests cover a wide range of areas such as sustainability, sustainability management, ESG (Environmental, Social and Governance) indices, quality management in healthcare, lean healthcare applications, clinical process maps and machine learning. She has particularly focused on improving patient flow in breast cancer centers and sustainability applications in the healthcare sector.
Kemal Güven Gülen is the Head of the Department of Industrial Engineering at Namık Kemal University in Tekirdag. He completed his undergraduate studies in Mechanical Engineering at Istanbul Technical University. After completing his undergraduate studies, he completed his Business Administration Program (1985-1987), Master's program (1987-1989), and Doctoral program (1989-1994) graduate studies in Business Administration, master's degree (1985-1987) in Production Management area at Istanbul University, respectively. He served as the Head of the Department of Industrial Engineering at Istanbul Commerce University (2001-2003) and Head of the Department of Logistics (2003-2014). He served as Dean of the Faculty of Engineering and Architecture at Nisantası University (2014-2016). His academic research focuses on Production Management, Operations Research, Supply Chain Management, and Logistics. He has authored two books and numerous publications.
Content
A Transparent "Glass Box" Framework for Structural Supply Chain Risk Assessment: Leveraging SLMs and LLMs to Integrate ESG, Operational Resilience, and Quality for Manufacturing SMEs.- Responsible AI in Production: Aligning Innovation with Sustainability Goals.- The Bees Algorithm and Its Applications in Remanufacturing.- The Career Success Initiative: Ecologizing Infrastructural Change in Support of Creative Life Improvisations.- Development of an AI-Enhanced Refill Station Model for Sustainable Packaging in the FMCG Sector.- The Impact of Blockchain Technology on Operational Efficiency: The Case of Asset Management Firms.- An Optimized Transformer Based Model for Sentiment Analysis of Customer Interviews in Logistics.- Artificial Intelligence-Supported Weather and Traffic Analysis: Flight Delay Prediction at Istanbul Airport.- Evaluation of CNN and Pre-trained Models in Image-Based PV Panel Defect Identification.- LLM-Driven Harmonization of Semantic Metadata in Data Catalog.- Short-Term Electricity Demand Forecasting Using AI-Based Models for Green and Sustainable Energy Management.- An Integrated Multi-Dimensional Approach for Evaluating Mobile Learning Platforms in Educational Environments.- Applying Machine Learning for Monthly Forecasting of Real Estate Sales to Foreigners in Türkiye.- Retail Sales Forecasting Using Competitor Data: An Extreme Gradient Boosting Model Optimized with Optuna.- SCADA Data Analysis with Decision Trees for Fault Prediction in Wheel Rim Molding.- AI-Integrated Collaborative Robots for Integrated Energy Management Small and Medium-Sized Enterprises.- Between Intuition and Automation: Rethinking Toy Design and Environmentally Sustainable Engagement in the Age of AI.- Comparative Analysis of Manual Solar System Design and PVsyst Outputs for Residential Loads.- Compliance for Cross-Border AI Projects: Managing Personal Data Transfers from the Perspective of Turkish Law.- Mobile Waste Collection Center Location Selection: A Case Study in Yenimahalle, Ankara.- Artificial Intelligence for Industrial Energy Development: Opportunities, Challenges, and
Future Directions.- Digital Twin-Driven Intelligent Manufacturing of Internet of Things, Artificial Intelligent and Machine Learning Integration.- Enhancing Small Cosmetics Businesses with Big Companies Innovations: A Sustainable Productivity and Lean Manufacturing Journey.- Examining Sectoral Differentiation in the Turkish Manufacturing Industry via Cluster Analysis.- Method for Calculating Motor Transport Costs in Military Logistics.- Optimization of Internal Logistics Vehicle Operations in an Electronics Manufacturing Facility.- Post-Earthquake Logistics Planning: A Case Study of the 2023 Kahramanmaras Earthquake.- The Role of E-Commerce in Reducing Carbon Dioxide (CO²) Emissions: Toward a
Sustainable Economic Model in Türkiye.- Comparison of FCFS, SPT, MWR, MOR and ORT Scheduling Methods in Semiconductor Manufacturing.- Demonstrating Material Handling Cost Reduction via Cellular Manufacturing in a Symmetrical Hypothetical Layout.