Identification of the Critical Factors for Global Supply Chain Management under the COVID-19 Outbreak via a Fusion Intelligent Decision Support System

Axioms

Fu-Hsiang Chen¹  Ming-Chin Hung²  Ming-Fu Hsu³  Shuyi Yao⁴  Kuang-Hua Hu⁴ 

[1] Department of Accounting, Chinese Culture University, Taipei 111, Taiwan;Department of Financial Engineering and Actuarial Mathematics, Soochow University, Taipei 111, Taiwan;English Program of Global Business, Chinese Culture University, Taipei 111, Taiwan;Finance and Accounting Research Center, School of Accounting, Nanfang College, Guangzhou 510970, China;

关键词: COVID-19;    supply chain management;    data envelopment analysis;    rough set theory;    multiple criteria decision making;   

DOI  :  10.3390/axioms10020061

来源: DOAJ

【 摘 要 】

Under the ravages of COVID-19, global supply chains have encountered unprecedented disruptions. Past experiences cannot fully explain the situations nor provide any suitable responses to these fatal shocks on supply chain management (SCM), especially in todays’ highly intertwined/globalized business environment. This research thus revisits and rechecks the crucial components for global SCM during such special periods, and the basic essence of such management covers numerous perspectives that can be categorized into a multiple criteria decision making (MCDM) approach. To handle this complex issue appropriately, one can introduce a fusion intelligent system that involves data envelopment analysis (DEA), rough set theory (RST), and MCDM to understand the reality of the analyzed problem in a faster and better manner. Based on the empirical results, we rank the priorities in order as cash management and information (D), raw material supply (B), global management strategy (C), and productivity and logistics (A) for improvement in SCM. This finding is confirmed by companies now undergoing a downsizing strategy in order to survive in this harsh business environment.

【 授权许可】

Unknown