Gamal Abduallah, Abdel-Basset Mohamed, Chakrabortty Ripon K
Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah 44519, Egypt.
Capability Systems Centre, School of Engineering and IT, UNSW Canberra, Egypt.
Expert Syst Appl. 2022 Nov 1;205:117711. doi: 10.1016/j.eswa.2022.117711. Epub 2022 Jun 3.
The COVID-19 pandemic has cast a shadow on the global economy. Since the beginning of 2020, the pandemic has contributed significantly to the global recession. In addition to the health damages of the pandemic, the economic impacts are also severe. The consequences of such effects have pushed global supply chains toward their breaking point. Industries have faced multiple obstacles, threatening the fragile flow of raw materials, spare parts, and consumer goods. Previous studies showed that supply chain barriers have multi-faceted impacts on industries and supply chains, which demand appropriate measures. In this regard, seven major barriers that directly impact industries have been identified to determine which industry is most affected by the COVID-19 pandemic. This paper utilized a hybrid multi-criteria decision-making (MCDM) approach under a neutrosophic environment using trapezoidal neutrosophic numbers to rank those barriers. The Analytical Network Process (ANP) quantifies the effects and considers the interrelationships between the determined barriers (criteria) involved in decision-making. Subsequently, the Measurement Alternatives and Ranking according to the COmpromise Solution (MARCOS) method was adopted to rank six industries according to the impact of those barriers. Results show that the lack of inventory is the largest barrier to influencing industries, followed by the lack of manpower. Sensitivity analysis is performed to detect the change in the rank of industries according to the change in the relative importance of the barriers.
新冠疫情给全球经济蒙上了一层阴影。自2020年初以来，疫情对全球衰退起到了显著的推动作用。除了疫情对健康造成的损害外，其经济影响也很严重。这些影响的后果已将全球供应链推向了崩溃边缘。各行业面临多重障碍，威胁着原材料、零部件和消费品的脆弱流通。此前的研究表明，供应链障碍对行业和供应链具有多方面影响，需要采取适当措施。在这方面，已确定了直接影响行业的七个主要障碍，以确定哪个行业受新冠疫情影响最大。本文在中智环境下采用混合多准则决策（MCDM）方法，使用梯形中智数对这些障碍进行排名。网络层次分析法（ANP）对影响进行量化，并考虑决策中所涉及的已确定障碍（准则）之间的相互关系。随后，采用基于折衷解的测量替代方案及排序法（MARCOS）根据这些障碍的影响对六个行业进行排名。结果表明，库存短缺是影响行业的最大障碍，其次是人力短缺。进行敏感性分析以检测根据障碍相对重要性的变化行业排名的变化。
