Supply Chain Modelling, Optimization, Digitalization and Analytics - Proceedings of ICoSMODA 2026
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Home > Computer Science Books > Artificial intelligence > Supply Chain Modelling, Optimization, Digitalization and Analytics - Proceedings of ICoSMODA 2026: Towards Green, Sustainability and Digitalization for Smart Business(2207 Lecture Notes in Networks and Systems)
Supply Chain Modelling, Optimization, Digitalization and Analytics - Proceedings of ICoSMODA 2026: Towards Green, Sustainability and Digitalization for Smart Business(2207 Lecture Notes in Networks and Systems)

Supply Chain Modelling, Optimization, Digitalization and Analytics - Proceedings of ICoSMODA 2026: Towards Green, Sustainability and Digitalization for Smart Business(2207 Lecture Notes in Networks and Systems)


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About the Book

This book presents high-quality research papers presented at International Conference on Supply Chain Modelling, Optimization, Digitalization & Analytics (ICoSMODA 2026), to be held from 10 to 12 February 2026 at the Indian Statistical Institute, Kolkata, India. This book brings out the latest challenges, opportunities, trends, and practices in the field of Supply Chain Management (SCM). It explores how supply chains are becoming increasingly data-intensive, and how approaches to handling, analysing, optimizing, and evaluating data are rapidly evolving in the era of big data, digitalization, and sustainability imperatives.



About the Author :

Dr. Sujeet Kumar Singh is currently working as an assistant professor at SQC & OR, Indian Statistical Institute (ISI) Hyderabad Campus. Before joining ISI, he worked as an assistant professor in the Operations and Supply Chain area and as Chairperson (Research) at the Indian Institute of Management (IIM) Jammu. He completed his Ph.D. in Operations Research (Mathematics) from the Indian Institute of Technology (IIT) Roorkee; subsequently worked as a postdoctoral research fellow at the National University of Singapore for 3 years. Dr. Singh has worked with several optimization problems, including polynomial optimization, multi-objective optimization, fuzzy optimization, Fractional programming, vehicle routing, transportation, and supply chain optimization. He has published several journal papers in reputed journals, including the IEEE transactions on engineering and management, International journal of production research, Annals of operations research, Applied mathematical modelling, International Journal of fuzzy systems, Soft Computing, JBIM, etc.

Dr. Kaustav Kundu is currently working as an assistant professor at SQC & OR, Indian Statistical Institute (ISI) Kolkata Campus. Before joining ISI, he worked as an assistant professor in the School of Management and Labour Studies at the Tata Institute of Social Sciences (TISS) Mumbai. He completed his Ph.D. in Management Engineering from Politecnico di Milano, Italy; subsequently worked as a postdoctoral research fellow at the National University of Singapore for 3 and half years. Dr. Kundu has worked with several optimization problems, warehouse design, vehicle routing, transportation, and supply chain optimization. He has published several journal papers in reputed journals, including the Annals of Operations Research, Operations Management Research, Journal of Manufacturing Technology Management, Flexible Services and Manufacturing Journal, etc. He has been awarded famous Erasmus Mundus scholarship for research.

Indrajit Mukherjee is a full professor at the Shailesh J. Mehta School of Management, IIT Bombay. He did his Ph.D. from the Department of Industrial Engineering and Management, Indian Institute of Technology, Kharagpur. He did his master's degree in Quality, Reliability & Operations Research from Indian Statistical Institute, Kolkata, India. He has authored and co-authored several research papers published in refereed and reputed journals. His research contributions are published in the Annals of Operations Research, European Journal of Operational Research, International Journal of Production Research, Journal of Manufacturing Systems, Quality and Reliability Management, Quality Engineering, and Computers & Industrial Engineering. His primary research interest is in quality engineering & management, applied operations research, and supply chain management.

Raghu Nandan Sengupta is a professor in Department of Industrial & Management Engineering, IIT Kanpur. He obtained his Ph.D. from IIM Calcutta and postdoctoral fellowship from Princeton University, USA. His research interests are in areas of sequential estimation, statistical and mathematical reliability theory, risk analysis, optimization techniques in finance, meta heuristic techniques, reliability-based optimization, robust optimization. His research work has been published in European Journal of Operational Research, Computational Statistics & Data Analysis, Communication in Statistics, Journal of Applied Statistics, Metrika, Statistics, Marketing Intelligence and Planning, Journal of Marketing Theory and Practice, Annals of Operations Research. He has also edited two books titled (i) Decision Sciences: Theory and Practice, (2016); and (ii) Studies in Quantitative Decision Making (2022), the latter being published by Springer.


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Product Details
  • ISBN-13: 9783032378156
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • No of Pages: 249
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: 2207 Lecture Notes in Networks and Systems
  • Width: 155 mm
  • ISBN-10: 303237815X
  • Publisher Date: 15 Nov 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Returnable: N
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  • Returnable: N
  • Returnable: N
  • Sub Title: Towards Green, Sustainability and Digitalization for Smart Business


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Supply Chain Modelling, Optimization, Digitalization and Analytics - Proceedings of ICoSMODA 2026: Towards Green, Sustainability and Digitalization for Smart Business(2207 Lecture Notes in Networks and Systems)
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Supply Chain Modelling, Optimization, Digitalization and Analytics - Proceedings of ICoSMODA 2026: Towards Green, Sustainability and Digitalization for Smart Business(2207 Lecture Notes in Networks and Systems)
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