Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic

As global supply chains become more developed and complicated, supplier quality has increasingly influential on the competitiveness of businesses during Covid-19 pandemic. Consequently, selection is an important process for any business around globe. Choosing a complex decision that can result in lower procurement costs increased profits without increasing cost or lowering product. However, these decision-making problems be complicated cases with multiple potential suppliers. Vietnam's textile garment industry, example, made rapid progress recent years but still facing great difficulties as raw materials machinery depends heavily foreign countries. Therefore, it extremely manufacturing companies Vietnam to implement effective evaluation process. While multicriteria models are frequently employed assist problems, few consider problem under condition fuzzy environment. The aim this paper create hybrid MCDM model using Fuzzy Analytical Hierarchy Process (FAHP) Technique Order Preference by Similarity Ideal Solution (TOPSIS) industry In study, FAHP method used evaluate performance weight each criterion. TOPSIS then rank all proposed applied real-world case study demonstrate both calculation well its applicability. results from provide empirical evidence feasible. approach also combination other better support makers modified similar processes different industries.