Overview
- Comprehensive coverage of game theory, related solution concepts & new challenges in multi-agent settings
- Combines game theory and mechanism design with critical operations and supply chain management applications
- Discusses contemporary topics like explainable AI, sustainability, and mobility from a game-theoretic lens
Part of the book series: Springer Texts in Business and Economics (STBE)
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Keywords
- Game Theory
- Operations Management
- Supply Chain Management
- Auctions and Mechanism Design
- Normal-form Games
- Extensive-form Games
- Characteristic-form Games
- Inventory Games
- Logistics
- Explainable AI
- Procurement
About this book
This book provides 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. It discusses different strategic situations like games in normal form, games in extensive form, games of incomplete information, 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.
The recognition and adoption of game-theoretic modeling for operations and supply chain management problems in multi-agent settings have been a hallmark of operations and supply chain literature research 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 operations management problems. Additionally, with the increasing digitization of operations and supply chain management, the narrative of problems in these areas focuses on blockchain and smart contracts, platforms, and shared economy. The book profits from these new issues being predominantly multi-agent settings and lending themselves to game-theoretical solution concepts.
The book's intended audience is the advanced undergraduate and graduate student community of operations and supply chain management, economics, mathematics, computer science, and industrial engineering. It is also relevant for the research community and industry practitioners who use multi-agent architecture in business problems.
Authors and Affiliations
About the author
R. K. Amit is Professor at the Department of Management Studies, Indian Institute of Technology (IIT) Madras, Chennai, India. He completed his undergraduate studies at Indian Institute of Technology (IIT) Kanpur and his doctoral studies at Indian Institute of Science (IISc), Bangalore. He heads the Decision Engineering & Pricing (DEEP) Lab at IIT Madras, which specializes in engineering best decisions using wisdom from optimization, game theory, mechanism design, and pricing. His research has been published in top-tier journals. He is actively involved in high-impact, industry-relevant research.
Bibliographic Information
Book Title: Game Theory with Applications in Operations Management
Authors: R.K. Amit
Series Title: Springer Texts in Business and Economics
Publisher: Springer Singapore
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Hardcover ISBN: 978-981-99-4832-1Due: 12 July 2024
Softcover ISBN: 978-981-99-4835-2Due: 12 July 2024
eBook ISBN: 978-981-99-4833-8Due: 12 July 2024
Series ISSN: 2192-4333
Series E-ISSN: 2192-4341
Edition Number: 1
Number of Pages: VIII, 246
Number of Illustrations: 156 b/w illustrations