Game theory with applications in operations management
Amit, R. K
Game theory with applications in operations management - Singapore Springer 2024 - xiii, 237 p. - Springer Texts in Business and Economics .
Table of content:
Operations Management: A Curtain Raiser
R. K. Amit
Pages 1-10
Game Theory: Primitives and Representations
R. K. Amit
Pages 11-20
Games in Normal Form
R. K. Amit
Pages 21-55
Games in Normal Form: Applications in OM
R. K. Amit
Pages 57-84
Games in Extensive Form
R. K. Amit
Pages 85-104
Games in Extensive Form: Applications in OM
R. K. Amit
Pages 105-124
Games in Characteristic Form
R. K. Amit
Pages 125-141
Games in Characteristic Form: Applications in OM
R. K. Amit
Pages 143-170
Mechanism Design and Auctions
R. K. Amit
Pages 171-210
Mechanism Design and Auctions: Applications in OM
R. K. Amit
Pages 211-231
[https://link.springer.com/book/10.1007/978-981-99-4833-8]
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.
(https://link.springer.com/book/10.1007/978-981-99-4833-8)
9789819948321
Game theory
519.3 / AMI
Game theory with applications in operations management - Singapore Springer 2024 - xiii, 237 p. - Springer Texts in Business and Economics .
Table of content:
Operations Management: A Curtain Raiser
R. K. Amit
Pages 1-10
Game Theory: Primitives and Representations
R. K. Amit
Pages 11-20
Games in Normal Form
R. K. Amit
Pages 21-55
Games in Normal Form: Applications in OM
R. K. Amit
Pages 57-84
Games in Extensive Form
R. K. Amit
Pages 85-104
Games in Extensive Form: Applications in OM
R. K. Amit
Pages 105-124
Games in Characteristic Form
R. K. Amit
Pages 125-141
Games in Characteristic Form: Applications in OM
R. K. Amit
Pages 143-170
Mechanism Design and Auctions
R. K. Amit
Pages 171-210
Mechanism Design and Auctions: Applications in OM
R. K. Amit
Pages 211-231
[https://link.springer.com/book/10.1007/978-981-99-4833-8]
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.
(https://link.springer.com/book/10.1007/978-981-99-4833-8)
9789819948321
Game theory
519.3 / AMI