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Quality effort decision in service supply chain with quality preference based on quantum game

Author

Listed:
  • Cuihua Zhang

    (School of Business Administration, Northeastern University, Shen Yang, Liao Ning 110819, P. R. China)

  • Peng Xing

    (School of Business Administration, Northeastern University, Shen Yang, Liao Ning 110819, P. R. China)

  • Jianwei Wang

    (School of Business Administration, Northeastern University, Shen Yang, Liao Ning 110819, P. R. China)

Abstract

Service quality preference behaviors of both members are considered in service supply chain (SSC) including a service integrator and a service provider with stochastic demand. Through analysis of service quality cost and revenue, the utility functions are established on service quality effort degree and service quality preference level in integrated and decentralized SSC. Nash equilibrium and quantum game are used to optimize the models. By comparing the different solutions, the optimal strategies are obtained in SSC with quality preference. Then some numerical examples are studied and the changing trend of service quality effort is further analyzed by the influence of the entanglement operator and quality preferences.

Suggested Citation

  • Cuihua Zhang & Peng Xing & Jianwei Wang, 2015. "Quality effort decision in service supply chain with quality preference based on quantum game," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(07), pages 1-23.
    • Handle: RePEc:wsi:ijmpcx:v:26:y:2015:i:07:n:s0129183115500734
    DOI: 10.1142/S0129183115500734
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    Citations

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    Cited by:

    1. Cui-Hua Zhang & Peng Xing & Jin Li, 2018. "Optimal Strategy of Social Responsibility and Quality Effort in Service Supply Chain with Quality Preference," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(03), pages 1-43, June.
    2. Masih Fadaki & Babak Abbasi & Prem Chhetri, 2022. "Quantum game approach for capacity allocation decisions under strategic reasoning," Computational Management Science, Springer, vol. 19(3), pages 491-512, July.

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