Chen Jingze, Wang Hongfeng, Fu Yaping
College of Information Science and Engineering, Northeastern University, Shenyang, 110819, People's Republic of China.
School of Business, Qingdao University, Qingdao, 266071, People's Republic of China.
Environ Sci Pollut Res Int. 2022 Feb 5:1-15. doi: 10.1007/s11356-022-18931-7.
The global pandemic of COVID-19 has caused severe damage to the supply chain such that manufacturers may face long-term supply disruptions. In this paper, a disruption recovery strategy of a supply chain system is investigated from the perspective of product change, in which the life cycle and design change time of a new product are both considered in order to minimize the losses of manufacturer after disruptions. A mixed-integer linear programming (MILP) model is presented to address the disruption recovery problem for this multi-period, multi-supplier, and multi-stage supply chain system. A two-stage heuristic algorithm is designed to solve the problem. Experimental results show that the proposed disruption mitigation strategy can effectively reduce the profit loss of manufacturer due to supply disruption, and demonstrate the impact of product life cycle in the selection of new product design planning. A sensitivity analysis is performed to ensure the applicability of the model in the actual environment, which illustrates the effect of different parameter changes on the results. This work can help manufacturers establish an optimal recovery strategy whenever the supply chain system experiences supply disruptions.
新冠疫情全球大流行对供应链造成了严重破坏，以至于制造商可能面临长期的供应中断。本文从产品变更的角度研究了供应链系统的中断恢复策略，其中考虑了新产品的生命周期和设计变更时间，以尽量减少中断后制造商的损失。提出了一个混合整数线性规划（MILP）模型来解决这个多周期、多供应商和多阶段供应链系统的中断恢复问题。设计了一种两阶段启发式算法来解决该问题。实验结果表明，所提出的中断缓解策略能够有效降低制造商因供应中断而导致的利润损失，并证明了产品生命周期在新产品设计规划选择中的影响。进行了敏感性分析以确保模型在实际环境中的适用性，该分析说明了不同参数变化对结果的影响。这项工作可以帮助制造商在供应链系统遭遇供应中断时制定最优的恢复策略。
