Supply chain management (SCM) has been viewed as one of the most powerful tool for enhancing organizational competitiveness both in manufacturing as well as services. SCM often encounters a variety of decision-making situations. The process becomes complicated due to subjectivity of qualitative evaluation criterions/attributes. For proper understanding and controlling on key performance elements in a SCM and for successful implementation of SCM in an entire organizational context, supply chain performance extent need to be assessed. Supply chain performance appraisement is basically a multicriteria decision-making (MCDM) process subjected to numerous evaluation indices, both qualitative as well as quantitative. Diculty is faced in dealing with qualitative performance indices. This requires expert opinion to be obtained by an experienced decisionmaking group. In the real word, decision-making problems are very vague and uncertain in a number of ways. Expert data are often incomplete, imprecise as well as inconsistent. Most of the criteria being interdependent and having interactive features; data cannot be evaluated by conventional methods. Therefore, it requires exploration of the fuzzy multi-criteria decision making (FMCDM) tools and techniques. Fuzzy logic has the capability of eciently dealing with vague human judgment; thereby, facilitating the said decision-making process. To this end, this paper describes development of a fuzzy decision support system (DSS) towards performance evaluation of an organizational supply chain. The research has been extended to identify ill-performing areas of the entire organizational supply chain, which require future improvemen
