Quantum game approach for capacity allocation decisions under strategic reasoning

Masih Fadaki (), Babak Abbasi and Prem Chhetri
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Masih Fadaki: RMIT University
Babak Abbasi: RMIT University
Prem Chhetri: RMIT University

Computational Management Science, 2022, vol. 19, issue 3, No 5, 512 pages

Abstract: Abstract From a common point of view, quantum mechanics, psychology, and decision science disciplines try to predict how unruly systems (atomic particles, human behaviors, and decision makers’ choices) might behave in the future. Effective predicting outcome of a capacity allocation game under various allocation policies requires a profound understanding as how strategic reasoning of decision makers contributes to the financial gain of players. A quantum game framework is employed in the current study to investigate how performance of allocation policies is affected when buyers strategize over order quantities. The results show that the degree of being manipulative for allocation mechanisms is not identical and adopting adaptive quantum method is the most effective approach to secure the highest fill rate and profit when it is practiced under a reasonable range of entanglement levels.

Keywords: Capacity allocation; Stock allocation; Allocation policies; Strategic reasoning; Quantum game theory; Supply chain (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10287-022-00424-0

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