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A cooperative game model of supply chain logistics information based on collaborative immune quantum particle swarm optimisation

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  • Jing Xue
  • Jina Cui

Abstract

Due to the problems of poor stability and low degree of cooperation in information cooperative game, a cooperative game model of supply chain logistics information based on collaborative immune quantum particle swarm optimisation is proposed. Taking the breadth and depth of supply chain logistics information sharing as the evaluation objective, the cooperative game model of supply chain logistics information is constructed by setting the cooperative conditions of game and the stable strategy of information sharing and dynamic game. The Nash equilibrium solution in the cooperative game model of supply chain logistics information is taken as the optimisation particle, the global optimal solution of the cooperative game model of supply chain logistics information is obtained, and the design of the cooperative game model of supply chain logistics information is completed. The experiment shows that the maximum stability coefficient of supply chain logistics information cooperation of the proposed model is about 0.91.

Suggested Citation

  • Jing Xue & Jina Cui, 2022. "A cooperative game model of supply chain logistics information based on collaborative immune quantum particle swarm optimisation," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 36(2/3/4), pages 196-212.
    • Handle: RePEc:ids:ijmtma:v:36:y:2022:i:2/3/4:p:196-212
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    Cited by:

    1. Haopeng Wang & Zhenzhi Zhao & Yingying Ma & Hao Wu & Fei Bao, 2023. "Sustainable Road Planning for Trucks in Urbanized Areas of Chinese Cities Using Deep Learning Approaches," Sustainability, MDPI, vol. 15(11), pages 1-19, May.

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