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Game Theory with Applications in Operations Management

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Game Theory with Applications in Operations Management

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Hardback
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Description

This book combines game theory with critical applications in operations and supply chain management. The recognition and adoption of game-theoretic modelling for operations and supply chain management problems in multi-agent settings have been a hallmark of research in operations and supply chain literature during the last few years. Despite research in operations and supply chain management having embraced both non-cooperative and cooperative game-theoretic solution concepts, there is still an abundance of underutilized concepts and tools in game theory that could strongly influence the operations management problems. The objective of this book is to provide a broad picture of solution concepts that are highly applicable to operations and supply chain settings, and to explicate these concepts with some of the relevant problems in operations management in multi-agent settings, often with conflicting objectives. The book discusses different strategic situations like games in normal form, games in extensive form, games of incomplete information, repeated games, mechanism design, and cooperative games, to solve operations problems of supply chain coordination, capacity planning, revenue and pricing management, and other complex problems of matching supply with demand. With the increasing digitization of supply chain and manufacturing, the narrative of the problems in these areas is focusing on additive and cooperative manufacturing, blockchain and smart contracts, online platforms, and shared economy. The book profits from the fact that these new issues are predominantly multi-agent settings, and lend into game-theoretical solution concepts. The intended audience of the book are research community and graduate students of operations & supply chain management, economics, mathematics, computer science, and manufacturing & industrial engineering. The book is also relevant for practitioners who use multi-agent architecture in business problems.

Author Biography:

R K Amit is an Associate Professor in the Department of Management Studies, Indian Institute of Technology Madras, Chennai, India. Prior to this, he was a faculty in the Department of Industrial & Management Engineering at the Indian Institute of Technology Kanpur. He completed his undergraduate studies at Indian Institute of Technology Kanpur, and his doctoral studies at Indian Institute of Science, Bangalore. His research and teaching interests are game theory and decision theory, and their application in management. His research has published in top-tier journals like European Journal of Operational Research, Operations Research Letters, International Journal of Production Economics, Omega, International Game Theory Review, Journal of Revenue and Pricing Management, and Journal of Cleaner Production. He is actively involved in sponsored and industry-relevant research with companies like Sabre, Renault Nissan, Tata Steel, and Societe Generale. Peeyush Mehta is a professor of operations management at the Indian Institute of Management Calcutta for the last nine years. Prior to this, he was a faculty in the Department of Industrial & Management Engineering at the Indian Institute of Technology Kanpur for six years. He obtained his doctoral degree from the Indian Institute of Management Ahmedabad. He worked as a post-doctoral research fellow in the Singapore-MIT alliance programme at the Nanyang Technological University, Singapore . Peeyush obtained his Bachelor of Engineering in Mechanical from Jodhpur University, and worked for industry for three years in power sector operations. Peeyush's research interests are in the areas of operations strategy, supply chain coordination, manufacturing competitiveness, and game theory applications in operations. His research has appeared in international journals such as European Journal of Operational Research, International Journal of Production Economics, Computers and Operations Research, International Journal of Production Research. At IIM Calcutta, he teaches courses on production and operations management, supply chain management, manufacturing management. Peeyush is also involved with executive education with industry managers in the areas of strategic sourcing, operations strategy, business model innovation and manufacturing management.
Release date NZ
April 13th, 2023
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
Country of Publication
India
Edition
1st ed. 2023
Illustrations
30 Illustrations, black and white; Approx. 350 p. 30 illus.
Imprint
Springer, India, Private Ltd
Publisher
Springer, India, Private Ltd
ISBN-13
9788132239451
Product ID
30664862

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