A Fuzzy MCDM Model of Supplier Selection in Supply Chain Management

According to a new study by the International Labor Organization (ILO), COVID-19 pandemic has had strong impact on garment industry in Asia-Pacific region. A sharp drop retail sales key export markets affected workers and businesses across supply chains. To ensure effectiveness efficiency of chain, choosing sustainable supplier should be main concern all businesses. The selection problem involves multiple quantitative qualitative criteria. There have been many research literatures about development application Multicriteria Decision Making (MCDM) models solving decision-making problems different sectors such as or investment assessment. Many MCDM introduced over years, each model is uniquely dedicated into particular problem. very little incorporated with fuzzy set theory support decision makers uncertain environments. This paper introduces Fuzzy MCDM-based approach utilizing Fuzzy-Analytic Hierarchical Process (FAHP) Weighted Aggregated Sum Product Assessment (WASPAS) methods makers. aim developing tool that supports maker deciding suitable under environment. proposed applied real-world case demonstrate steps well its feasibility. assisted successfully goals resulted an optimal