Emerging Frontiers in Operations and Supply Chain Management: Theory and Applications (Asset Analytics)

This edited book addresses the challenges in managing the operations and supply chain of organizations in the era of internet of things and Industry 4.0. It presents cutting edge research on real world operations related problems, in-depth analyses, and relevant managerial implications. Wide variety of solution approaches such as quantitative, quantitative, and simulations are presented in the context of managing the operations and supply chains. Consisting of selected papers from the XXIII Annual International Conference of Society of Operations Management, this volume is part of a two volume series with the other book consisting of chapters on quantitative decision making. 

This edited book covers various quantitative models on operations and supply chain management such as inventory optimization, machine learning-operations research integrated model for healthcare systems, game-theoretic analysis of review strategies in truthful information sharing, design of contracts insupply chains, supply chain optimization, inventory routing, and shop floor scheduling. In addition to the quantitative models, several innovative heuristics are proposed for different problems. This book explores qualitative models on improving the performance of small and medium enterprises and petroleum industries and a simulation model for staff allocation in the information technology industry. Finally, this book provides review articles on vaccine supply chains and behavioral operations management.

The book throws light on the emerging trends in the use of analytics, optimization, and simulation tools and empirical analysis to improve the performance of operations and supply chains of organizations. It will serve as an essential resource for practitioners, students, faculty members and scholars in operations management and related areas to gain knowledge and pursue high quality research on developments in areas such as managing the resource management andthe solution methodology---innovative tools employed in addressing the real world problems and the different optimization techniques.

B Vipin is an Assistant Professor at the Department of Industrial and Management Engineering, Indian Institute of Technology Kanpur. He obtained his PhD from Indian Institute of Management Madras, Chennai, India. He has published his research findings in leading journals and he is a regular participant in leading operations management conferences. His areas of research interest are decision theory, behavioral operations management, sustainable operations, and healthcare operations management.

C Rajendran is a Professor and RAGS Family Foundation Institute Chair at the Department of Management Studies, Indian Institute of Technology Madras, Chennai, India. He obtained his PhD in industrial engineering and management from the same institute. He has been a recipient of Alexander von Humboldt Research Fellowship more than 10 times since 1996 and has published in top journals of operations management. He has been awarded Dr.rer.pol.h.c. (Honorary Doctorate) from the University of Passau in 2017, and elected Fellow of Indian National Academy of Engineering (FNAE) in 2018. His areas of research interest include scheduling in manufacturing and service systems, logistics management, inventory optimization in deterministic systems, economic lot sizing and capacitated lot sizing problems, heuristics & metaheuristics, and their applications in operations and supply chain management, total quality management and service quality.

Ganesh Janakiraman is Ashbel Smith Professor of Operations Management at the Naveen Jindal School of Management, The University of Texas at Dallas, USA. He obtained his PhD from Cornell University, Ithaca, USA. He has numerous articles in high ranking journals of operations management and has also attended several conferences and seminars as an invited speaker. His areas of interest include stochastic inventory theory, and, more broadly, decision making under uncertainty.

Deepu Philip is a Professor at the Department of Industrial and Management Engineering, Indian Institute of Technology Kanpur. He obtained his PhD from MSU Bozeman, USA. He is currently working on several research projects funded by national and international agencies and has papers published in well-established research journals. His areas of research interest include production and operations management, systems engineering and simulation, and local search and optimization.