Selection of end user in supply chain network using Fuzzy-Pareto approach

Abstract

Supply chain is one of the major backbones of business processes. Supply chain management requires substantial number of deterministic processes so that uncertainty in supplier and end user identification could be resolved. The world is becoming more and more a global market place and the global environment forcing the firms to take almost everything into consideration at the same time. Increase flexibility is required to remain competitive and respond to rapidly changing market. In this context, supplier selection represents one of the most important functions to be performed by the purchasing department. Supplier selection is a multi criterion problem which includes both quantitative and qualitative factors. In order to select the best supplier it is necessary to make a tradeoff between these tangible and intangible factors some of which may conflict. In order to accomplish certain authentic identification of end user selection with several conflicting criteria, the present paper proposes a novel method of Fuzzy Pareto paradigm in supply chain environment. The data for validating the model has been prepared from questionnaire and few brief inferences have been accomplished from the model.