Chen Toly, Wang Yu-Cheng, Wu Hsin-Chieh
Department of Industrial Engineering and Management, National Chiao Tung University, University Road, Hsinchu 1001, Taiwan.
Department of Aeronautical Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan.
Healthcare (Basel). 2021 Jan 13;9(1):71. doi: 10.3390/healthcare9010071.
The supply chain disruption caused by the coronavirus disease 2019 (COVID-19) pandemic has forced many manufacturers to look for alternative suppliers. How to choose a suitable alternative supplier in the COVID-19 pandemic has become an important task. To fulfill this task, this research proposes a calibrated fuzzy geometric mean (cFGM)-fuzzy technique for order preference by similarity to ideal solution (FTOPSIS)-fuzzy weighted intersection (FWI) approach. In the proposed methodology, first, the cFGM method is proposed to accurately derive the priorities of criteria. Subsequently, each expert applies the FTOPSIS method to compare the overall performances of alternative suppliers in the COVID-19 pandemic. The sensitivity of an expert to any change in the overall performance of the alternative supplier is also considered. Finally, the FWI operator is used to aggregate the comparison results by all experts, for which an expert's authority level is set to a value proportional to the consistency of his/her pairwise comparison results. The cFGM-FTOPSIS-FWI approach has been applied to select suitable alternative suppliers for a Taiwanese foundry in the COVID-19 pandemic.
2019冠状病毒病(COVID-19)大流行造成的供应链中断迫使许多制造商寻找替代供应商。如何在COVID-19大流行中选择合适的替代供应商已成为一项重要任务。为完成这项任务,本研究提出了一种校准模糊几何均值(cFGM)-基于理想解相似度排序法(FTOPSIS)-模糊加权交集(FWI)方法。在所提出的方法中,首先,提出了cFGM方法以准确得出准则的优先级。随后,每位专家应用FTOPSIS方法比较COVID-19大流行中替代供应商的整体绩效。还考虑了专家对替代供应商整体绩效任何变化的敏感度。最后,使用FWI算子汇总所有专家的比较结果,为此将专家的权威水平设置为与其成对比较结果的一致性成比例的值。cFGM-FTOPSIS-FWI方法已应用于为一家台湾代工厂在COVID-19大流行中选择合适的替代供应商。