Complex Evolution Game and System Dynamics Simulation on the Impact of Coevolution on the Stability of the Fresh Agricultural Products Green Supply Chain

Xin Su, Xiangjiao Shi, Liyan Geng, Renzhu Yu
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Abstract

Although optimization of a fresh agricultural products supply chain has been widely studied, not much attention was paid to the impact of coevolution on the stability of such a supply chain, especially in the green development of such a supply chain. In this paper, based on the synergy theory and by considering the green development of the supply chain, with logistic model deduction of the trading volume of the supply chain as the system order parameter, system dynamics simulation is performed, showing the influence of the coevolution mechanism of various subsystems and the complex evolution game process on the stability of the supply chain. These results indicate that excessive coevolution among subsystems is not conducive to the supply chain when it enters a stable and orderly state. Only when the coevolution ability is controlled within a certain range can each subsystem achieve maximum profit. At the same time, the simulation results demonstrate the positive impact of coevolution on the stability of the supply chain. Sensitivity analysis shows that environmental factors such as the recycling rate of rotten products and the levels of government regulation and environmental ethics regulation have a positive impact on the stability of the supply chain, for which the larger the climate impact factor is, the less conducive it is to the stability. This research report provides some guidance for the sustainable development of the fresh agricultural products supply chain.
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协同进化对生鲜农产品绿色供应链稳定性影响的复杂演化博弈与系统动力学仿真
虽然生鲜农产品供应链的优化问题已经得到了广泛的研究,但对于协同进化对供应链稳定性的影响,尤其是在供应链绿色发展过程中的影响,研究较少。本文基于协同理论,在考虑供应链绿色发展的前提下,以供应链交易量的logistic模型推导为系统序参量,进行系统动力学仿真,展示了各子系统协同演化机制和复杂演化博弈过程对供应链稳定性的影响。这些结果表明,当供应链进入稳定有序状态时,子系统之间过度的协同进化不利于供应链的发展。只有将协同进化能力控制在一定范围内,各子系统才能获得最大的利益。同时,仿真结果证明了协同进化对供应链稳定性的积极影响。敏感性分析表明,腐烂产品的回收率、政府监管水平、环境伦理监管水平等环境因素对供应链的稳定性有正向影响,其中气候影响因子越大,越不利于供应链的稳定性。本研究报告对生鲜农产品供应链的可持续发展具有一定的指导意义。
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