Advances in Production Engineering & Management
Volume 18 | Number 2 | June 2023 | pp 225–236
https://doi.org/10.14743/apem2023.2.469
Blockchain-based tripartite evolutionary game study of manufacturing capacity sharing
Wang, T.Y.; Zhang, H.
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A B S T R A C T
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.
A R T I C L E I N F O
Keywords • Blockchain; Manufacturing; Capacity sharing; Tripartite evolutionary game; Simulation; MATLAB
Corresponding author • Zhang, H.
Article history • Received 17 November 2022, Revised 15 June 2023, Accepted 29 June 2023
Published on-line • 23 July 2023
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