Sustainable Supply Chain Management
Computational Approaches and Modelling
- 1st Edition - March 1, 2026
- Editors: Syed Mithun Ali, Irfan Ali, Fariba Goodarzian, Bathrinath Sankaranarayanan
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 8 0 7 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 8 0 8 - 3
Sustainable Supply Chain Management: Computational Approaches and Modelling provides a comprehensive understanding of how computational approaches can be leveraged to addres… Read more
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Sustainable Supply Chain Management: Computational Approaches and Modelling provides a comprehensive understanding of how computational approaches can be leveraged to address the challenges associated with sustainable supply chain management. It offers insights into emerging and advanced modelling techniques to optimize supply chain operations while considering environmental, social, and economic factors. This book will be a valuable resource for researchers, practitioners, and policymakers interested in understanding and implementing sustainable supply chain management practices through computational approaches and modelling. This book helps researchers understand the opportunities, challenges, and solutions by developing innovative computational tools and techniques to integrate sustainability considerations into supply chain decision-making processes.
- Provides an understanding of recent advancements in sustainable supply chain management.
- Enforces a sound knowledge of computational approaches and modelling for real-world sustainable supply chains.
- Shares insights on decision support frameworks for sustainable supply chains.
Academics, researchers, practitioners, and policymakers in supply chain management, sustainability, operations research, and related disciplines.
Part I: Introduction to Sustainable Supply Chain Management
1. Overview of Sustainable Supply Chain Management
Introduction to sustainability in supply chain management
Key challenges and opportunities in achieving sustainable supply chains.
Role of computational approaches and modelling in addressing these challenges
Case studies illustrating the importance of sustainable supply chains
Part II: Computational Approaches for Sustainable Supply Chain Management
2. Big Data Analytics for Sustainable Supply Chains
Importance of big data analytics in sustainable supply chain decision-making
Data collection, integration, and analysis techniques for sustainability
Predictive analytics and forecasting for sustainability optimization
Case study demonstrating the application of big data analytics in sustainable supply chains
3. Advancements in Simulation and Hybrid Models for Sustainable and Resilient Supply Chains: A Multi-Criteria Decision-Making Perspective
Exploring the nexus of simulation and hybrid models in sustainable supply chains
Enhancing resilience in supply chain management through multi-criteria decision making
Integrating simulation and multi-criteria decision making for improved sustainability in supply chain operations considering real case example.
4. Optimization Models for Sustainable Supply Chain Design
Mathematical modelling techniques for sustainable supply chain design
Multi-objective optimization models considering economic, environmental, and social factors
Trade-offs and decision-making under uncertainty in sustainable supply chain design
Real-world examples of sustainable supply chain design optimization
5. Green Transportation and Logistics Optimization
Green transportation and logistics challenges and opportunities
Optimization models for green transportation network design and routing
Sustainable vehicle routing and fleet management strategies
Case study showcasing green transportation optimization in practice
Part III: Supply Chain Management through Computational Modelling
6. Risk Assessment and Management in Supply Chains
Identification and classification of risks in supply chain operations
Quantitative and qualitative methods for risk assessment and analysis
Resilience strategies and contingency planning for supply chain risk management
Case study on effective risk management practices in resilient supply chains
7. Demand Forecasting and Inventory Management for Supply Chains Sustainability
Importance of accurate demand forecasting in supply chains
Forecasting techniques for demand variability and uncertainty
Inventory management strategies for enhancing supply chain sustinability
Real-world examples of demand forecasting and inventory management in sustainable supply chains
8. Real-Time Decision-Making and Adaptability in Supply Chains
Real-time data and decision-making for supply chain sustainability
Adaptive supply chain strategies and dynamic modelling approaches
Integration of real-time information technologies for agility and responsiveness
Case study highlighting successful real-time decision-making in resilient supply chains
Part IV: Case Studies and Future Directions
9. Case Studies in Sustainable Supply Chain Management
In-depth analysis of real-world sustainable supply chain initiatives
Examination of successful strategies, challenges faced, and lessons learned
Comparative analysis of case studies from various industries and sectors
10. Future Directions and Emerging Trends in Computational Approaches
Exploration of emerging technologies and trends in sustainable supply chains
Potential impact of artificial intelligence, blockchain, and Internet of Things
Implications of circular economy principles on supply chain computational modelling
Recommendations for future research and practice in computational approaches
1. Overview of Sustainable Supply Chain Management
Introduction to sustainability in supply chain management
Key challenges and opportunities in achieving sustainable supply chains.
Role of computational approaches and modelling in addressing these challenges
Case studies illustrating the importance of sustainable supply chains
Part II: Computational Approaches for Sustainable Supply Chain Management
2. Big Data Analytics for Sustainable Supply Chains
Importance of big data analytics in sustainable supply chain decision-making
Data collection, integration, and analysis techniques for sustainability
Predictive analytics and forecasting for sustainability optimization
Case study demonstrating the application of big data analytics in sustainable supply chains
3. Advancements in Simulation and Hybrid Models for Sustainable and Resilient Supply Chains: A Multi-Criteria Decision-Making Perspective
Exploring the nexus of simulation and hybrid models in sustainable supply chains
Enhancing resilience in supply chain management through multi-criteria decision making
Integrating simulation and multi-criteria decision making for improved sustainability in supply chain operations considering real case example.
4. Optimization Models for Sustainable Supply Chain Design
Mathematical modelling techniques for sustainable supply chain design
Multi-objective optimization models considering economic, environmental, and social factors
Trade-offs and decision-making under uncertainty in sustainable supply chain design
Real-world examples of sustainable supply chain design optimization
5. Green Transportation and Logistics Optimization
Green transportation and logistics challenges and opportunities
Optimization models for green transportation network design and routing
Sustainable vehicle routing and fleet management strategies
Case study showcasing green transportation optimization in practice
Part III: Supply Chain Management through Computational Modelling
6. Risk Assessment and Management in Supply Chains
Identification and classification of risks in supply chain operations
Quantitative and qualitative methods for risk assessment and analysis
Resilience strategies and contingency planning for supply chain risk management
Case study on effective risk management practices in resilient supply chains
7. Demand Forecasting and Inventory Management for Supply Chains Sustainability
Importance of accurate demand forecasting in supply chains
Forecasting techniques for demand variability and uncertainty
Inventory management strategies for enhancing supply chain sustinability
Real-world examples of demand forecasting and inventory management in sustainable supply chains
8. Real-Time Decision-Making and Adaptability in Supply Chains
Real-time data and decision-making for supply chain sustainability
Adaptive supply chain strategies and dynamic modelling approaches
Integration of real-time information technologies for agility and responsiveness
Case study highlighting successful real-time decision-making in resilient supply chains
Part IV: Case Studies and Future Directions
9. Case Studies in Sustainable Supply Chain Management
In-depth analysis of real-world sustainable supply chain initiatives
Examination of successful strategies, challenges faced, and lessons learned
Comparative analysis of case studies from various industries and sectors
10. Future Directions and Emerging Trends in Computational Approaches
Exploration of emerging technologies and trends in sustainable supply chains
Potential impact of artificial intelligence, blockchain, and Internet of Things
Implications of circular economy principles on supply chain computational modelling
Recommendations for future research and practice in computational approaches
- Edition: 1
- Published: March 1, 2026
- Language: English
SA
Syed Mithun Ali
Dr. Syed Mithun Ali is a Professor for the Department of Industrial and Production Engineering at the Bangladesh University of Engineering and Technology. He was awarded the Forum 86 Research Excellence Award’ 2021 for his contributions in the field of sustainable supply chains. He has published more than 100 articles in top-tier journals including the Journal of Cleaner Production, International Journal of Production Economics, Journal of Retailing and Consumer Services, International Journal of Production Research, Sustainable Production and Consumption, Industrial Management and Data Systems, Computers and Industrial Engineering, Annals of Operations Research, Energy, Applied soft Computing, Business Strategy and the Environment, Expert Systems with Applications and so on. His research interest includes sustainable, circular and digital supply chains, decision analytics, and applications of machine learning in industrial decision making.
Affiliations and expertise
Professor, Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, BangladeshIA
Irfan Ali
Dr. Irfan Ali received B.Sc., M.Sc., M.Phil., and Ph.D. degrees from Aligarh Muslim University. He is currently working as a Senior Assistant Professor with the Department of Statistics and Operations Research at Aligarh Muslim University. He received the Post Graduate Merit Scholarship Award during his M.Sc. (statistics) and the UGC-BSR Scholarship awarded during his Ph.D. (statistics) programs. His research interests include Applied statistics, supply chain networks and management, mathematical programming, Fuzzy logic & optimization, multi-objective optimization, UN Sustainable Development Goals and Renewable Energy Production Modelling. He has published more than 100+ research articles in reputed journals and serves as a Reviewer for several journals. He has published several edited books for Springer and Taylor’s Francis, CRC press.
Affiliations and expertise
Senior Assistant Professor, Department of Statistics and Operations Research, Aligarh Muslim University, IndiaFG
Fariba Goodarzian
Dr. Fariba Goodarzian is a Research Associate at the Edinburgh Business School, Heriot-Watt University, United Kingdom. She passed a Postdoctoral Researcher at the University of Tehran, Department of Industrial Engineering, Iran, in Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, United States, and at the University of Sevilla in Spain. She earned her Ph. D. degree in Industrial Engineering from Yazd University, Iran (2017-2020), M. Sc. degree in Industrial Engineering from the University of Science and Technology of Mazandaran, Behshar (2014-2016). She graduated with a B. Sc. degree in Industrial Engineering from Mazandaran University of Science and Technology, Babol (2010-2014). Some of her publications include, Applied Soft Computing; Applied Mathematical Modeling; Engineering Applications and Artificial Intelligence; Journal of Computational Design and Engineering; Computers and Industrial Engineering. Her main research interests are in Supply Chain Management, Health Care Management, Operations Research, Network Design and Uncertainty Programming.
Affiliations and expertise
Research Associate, Edinburgh Business School, Heriot-Watt University, UKBS
Bathrinath Sankaranarayanan
Dr. Bathrinath Sankaranarayanan is an Associate Professor in the Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India. His current area of research includes Industry 4.0, Supply Chain Management, Circular Economy, Risk Assessment, Multi-Criteria Decision Making, Scheduling, Optimization of process parameters, Soft Computing and Artificial intelligence. He has obtained his Post-Doctoral Fellowship in University of Southern Denmark, Odense, Denmark. He has also obtained his Young Scientist Fellowship from Tamilnadu State Council for Science and Technology (TNSCST). He has published 80 papers in journal of national/international repute and presented a number of papers in various conferences/symposia in India and abroad. He is presently guiding a number of master/doctoral research scholars.
Affiliations and expertise
Associate Professor, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India