Blockchain-based tripartite evolutionary game study of manufacturing capacity sharing

T.Y. Wang, H. Zhang
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Abstract

In the context of the new round of manufacturing innovation, the sharing economy drives the transformation of manufacturing industry to accelerate the integration and development. However, there are some problems in the process of manufacturing capacity sharing, such as information privacy and security, and difficulty in tracing the sharing process, etc. The application of blockchain technology can effectively solve these problems. To explore the capacity sharing behaviour of manufacturing enterprises from the perspective of blockchain, the article combines evolutionary game theory and constructs a tripartite game model of manufacturing capacity sharing. The replication dynamics and evolutionary stability of the model are analysed using evolutionary game theory, and numerical simulations are carried out using MATLAB software to analyse the impact of parameter changes on the evolutionary outcome. The research results show that the incentive and penalty coefficients under blockchain technology have a facilitating effect on enterprises to carry out sharing, and the enhancement of reputation gain coefficient and loss can promote positive services on the platform.
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基于区块链的制造业产能共享三方演化博弈研究
在新一轮制造业创新的大背景下,共享经济推动制造业加快转型融合发展。然而,制造业产能共享过程中也存在一些问题,如信息隐私安全、共享过程难以追溯等。区块链技术的应用可以有效解决这些问题。为了从区块链的角度探讨制造业企业的产能共享行为,文章结合演化博弈论,构建了制造业产能共享的三方博弈模型。利用进化博弈论分析了模型的复制动态和进化稳定性,并利用MATLAB软件进行了数值模拟,分析了参数变化对进化结果的影响。研究结果表明,区块链技术下的激励系数和惩罚系数对企业开展共享具有促进作用,声誉收益系数和损失的提升能够促进平台的正向服务。
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