Abstract
In the manufacturing process of high-end equipment, the quality of parts is an important factor affecting the quality of the final product, so it is necessary for the main manufacturer to supervise the quality of suppliers’ parts. There is little research on quality supervision in “the main manufacturer-multiple suppliers” mode. Considering the quality supervision of the main manufacturer, an evolutionary game model of quality improvement between two suppliers is established based on evolutionary game theory. Then, the stability of the game equilibrium point is discussed based on the stability criterion of Jacobian matrix. Finally, the impacts of penalty coefficient of the main manufacturer on suppliers’ strategies are analyzed through numerical simulation. The result illustrates that the increase in penalty coefficient can motivate suppliers to improve the quality of parts, and the result provides theoretical guidance for the main manufacturer to supervise suppliers.
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References
Zhang, M., Zhu, J.J., Wang, H.H., Liu, P.: Evolutionary game analysis on strategies in “main manufacturer–supplier” mode considering technology docking and price concluding under competition condition. Mathematics 7(12), 1–25 (2019)
Wang, X.H.: Pre-sale pricing strategies based on the reputation of an e-commerce platform enterprise and herd effect. J. Industrial Eng. Eng. Manage. 35(1), 126–141 (2021)
Weng, Z.C., Luo, P.L.: Supervision of the default risk of online car-hailing platform from an evolutionary game perspective. Sustainability 13(2), 1–19 (2021)
Li, J.Q., Ren, H., Zheng, J.: Stochastic evolutionary game analysis of multiple supervision paths of enterprise R&D manipulation. Chinese J. Manage. Sci. 29(10), 191–201 (2021)
Cheng, Y., Bi, L.N., Tao, F., Ji, P.: Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing. J. Intell. Manuf. 31(7), 1707–1720 (2018)
Shan, Z.D., Chen, L., Han, L.L., Zeng, Y.H.: Decision mechanism of multi-participators service innovation behavior in digital manufacturing environment. Computer integrated manufacturing system, 1–24 (2022)
Yang, K., Wang, W., Hu, B.: Evolutionary game models on multiagent collaborative mechanism in responsible innovation. Sci. Program. 2020, 1–11 (2020)
Wang, M.M., Lian, S., Yin, S., Dong, H.M.: A three-player game model for promoting the diffusion of green technology in manufacturing enterprises from the perspective of supply and demand. Mathematics 8(9), 1–26 (2020)
He, J.J., Jiang, X.L., Xu, F.Y.: Analysis of evolution path of cooperation game model based on SDN enterprises. Operations Res. Manage. 27(09), 83–90 (2018)
Li, Q., Kang, Y.F., Tan, L.L., Chen, B.: Modeling formation and operation of collaborative green innovation between manufacturer and supplier: a game theory approach. Sustainability 12(6), 2209 (2020)
Zhang, S.Z., Yu, Y.M., Zhu, Q.H., Qiu, C.M., Tian, A.X.: Green innovation mode under carbon tax and innovation subsidy: an evolutionary game analysis for portfolio policies. Sustainability 12(4), 1385 (2020)
Li, Z., Jin, G.H., Duan, S.: Evolutionary game dynamics for financial risk decision-making in global supply chain. Complexity 2018 (2018)
Ma, J.H., Lou, W.D., Tian, Y.: Bullwhip effect and complexity analysis in a multi-channel supply chain considering price game with discount sensitivity. Int. J. Prod. Res. 57(17), 5432–5452 (2019)
Gao, X.R., Shi, Y., Chen, Z.L.: Evolutionary game research on credit strategy of sharing economic transaction subjects. J. Chongqing Normal Univ.: Natural Science Ed. 37(1), 10 (2020)
Tong, W., Mu, D., Zhao, F., Gamini, P.M., John, W.S.: The impact of cap-and-trade mechanism and consumers’ environmental preferences on a retailer-led supply chain. Resour. Conserv. Recycl. 142, 88–100 (2019)
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The work is supported by the national natural science foundation of China under Grant No.72171173; Shanghai Science and Technology Innovation Action Plan under Grant No.19DZ1206800.
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Han, T., Lu, J., Zhang, H. (2022). Evolutionary Game Analysis of Suppliers Considering Quality Supervision of the Main Manufacturer. In: Huang, DS., Jo, KH., Jing, J., Premaratne, P., Bevilacqua, V., Hussain, A. (eds) Intelligent Computing Theories and Application. ICIC 2022. Lecture Notes in Computer Science, vol 13393. Springer, Cham. https://doi.org/10.1007/978-3-031-13870-6_1
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