000			03100nam a22002057a 4500
005			20250111155745.0
008			250111b |||||||| |||| 00| 0 eng d
020			_a9789819948321
082			_a519.3 _bAMI
100			_aAmit, R. K _920393
245			_aGame theory with applications in operations management
260			_bSpringer _aSingapore _c2024
300			_axiii, 237 p.
365			_aEUR _b99.99
490			_aSpringer Texts in Business and Economics
500			_aTable 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]
520			_aThis 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)
650			_aGame theory
942			_cBK _2ddc
999			_c8443 _d8443