Magableh Ghazi M, Mistarihi Mahmoud Z
Industrial Engineering Department-Yarmouk University, Irbid-Jordan Yarmouk University, P.O. Box 21163, Irbid, Jordan.
Heliyon. 2022 Mar 9;8(3):e09062. doi: 10.1016/j.heliyon.2022.e09062. eCollection 2022 Mar.
COVID-19 has impacted various aspects of life and business. The economic panic and effects caused by the pandemic have led to disruptions in most supply chains (SCs) worldwide. Our research aims to analyse the impact of COVID-19 on SCs and enable organisations to prioritise solutions based on their relative importance. The research consists of two main phases. Phase I analyses the impact of the pandemic on SCs in terms of challenges, concerns, steps, and solutions with the goal of SC resilience. The second phase proposes a merged Analytic Network Process-Technique for Order Preference by Similarity to Ideal Solution framework (ANP-TOPSIS) to prioritise the solutions that considers the complicated interrelationships between the factors involved in decision-making. The proposed model increases the efficiency of the decision-making process and helps decision makers effectively select solutions based on their importance and impact on business. The results indicate that SCs should continuously utilise technology to withstand future competition and crises.
新冠疫情对生活和商业的各个方面都产生了影响。这场大流行引发的经济恐慌和影响导致全球大多数供应链出现中断。我们的研究旨在分析新冠疫情对供应链的影响，并使各组织能够根据解决方案的相对重要性对其进行优先排序。该研究包括两个主要阶段。第一阶段从挑战、关注点、措施和解决方案等方面分析疫情对供应链的影响，目标是实现供应链的恢复力。第二阶段提出一种合并的网络层次分析法-逼近理想解排序法框架（ANP-TOPSIS），以便对解决方案进行优先排序，该框架考虑了决策过程中各因素之间复杂的相互关系。所提出的模型提高了决策过程的效率，并帮助决策者根据解决方案对业务的重要性和影响有效地进行选择。结果表明，供应链应持续利用技术来抵御未来的竞争和危机。
