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The Multiagent Evolutionary Game Research of Enterprise Resource Sharing on a Shared Manufacturing Platform

Author

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  • Miao Hao
  • Hong Wang
  • Kai Gao
  • Fabio Tramontana

Abstract

Shared manufacturing is the application innovation of the digital economy in the field of manufacturing and brings new opportunities for the transformation and upgrading of China and even the global manufacturing industry. In order to explore the strategy selection of enterprises on the shared manufacturing platform, this study constructs a two-party evolutionary game model and analyzes the dynamic relationship between manufacturing enterprise A and manufacturing enterprise B. Furthermore, in order to explore the influence of consumers’ strategies of manufacturing enterprises on the platform, the study constructs a tripartite evolutionary game model of manufacturing enterprise A, manufacturing enterprise B, and consumers. Based on the principles of system dynamics, the paper uses Matlab to simulate the evolutionary game process dynamically and discusses the influence of parameter changes on resource-sharing enthusiasm and strategy selection. The research shows that in the two-party game, manufacturing enterprises are more inclined to adopt the strategy of sharing manufacturing resources. In the tripartite game, consumers’ decision-making will affect the strategic choice of manufacturing enterprises. Consumers tend to establish strong dependence on shared-manufacturing products in the process of sharing manufacturing resources.

Suggested Citation

  • Miao Hao & Hong Wang & Kai Gao & Fabio Tramontana, 2022. "The Multiagent Evolutionary Game Research of Enterprise Resource Sharing on a Shared Manufacturing Platform," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-19, December.
  • Handle: RePEc:hin:jnddns:2322887
    DOI: 10.1155/2022/2322887
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    Cited by:

    1. Ling Cao & Jie Yin, 2023. "Research on Sharing Behavior Strategy of Cultural Heritage Institutions Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 15(13), pages 1-23, June.

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