考虑劳动力流动限制的供应链网络均衡模型

    A Supply Chain Network Equilibrium Model Considering Labor Flowing Constraints

    • 摘要: 新冠疫情引起的劳动力不足对劳动密集型企业造成了巨大的产能压力,“共享员工”是疫情期间许多企业缓解生产压力的一种做法。针对由多个相互竞争的异构供应链组成的供应链网络系统,利用变分不等式的方法,建立考虑劳动力流动限制的供应链网络均衡模型。利用欧拉算法求解该问题,分析了劳动力资源对供应链网络均衡决策的影响,并进一步分析“共享员工”措施对供应链运营效率的影响。研究表明,劳动力资源不足会降低供应链的产量及利润;“共享员工”可以帮助供应链根据自身产业结构及需求更好地分配有限的劳动力;“共享员工”在某些情况下会损害供应链的运行效率。

       

      Abstract: Labor constraints caused by COVID-19 has produced enormous capacity pressure on labor-intensive enterprise. Using shared employees is a method to relieve capacity pressure of enterprises during the COVID-19 pandemic. For a supply chain network system consisting of several competing heterogeneous supply chains, a variational inequality approach is used to develop an equilibrium model of a supply chain network considering labor flowing constraints. Euler algorithm is used to solve the problem, and the impact of labor resources on the equilibrium decision of a supply chain network is analyzed. Furthermore, the impact of "shared employees" on the efficiency of supply chain operation is also discussed. Results show that insufficient labor resources may reduce the production and profits of a supply chain; "shared employees" can help a supply chain better allocate limited labor according to its industrial structure and demand; in some cases, "shared employees" may reduce the operational efficiency of a supply chain.

       

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