Application Of Fuzzy Logic In Qualitative Performance Measurement Of Supply Chain Management

Abstract

Supply chain involves all activities meeting the customers demand and transferring material through downstream into upstream of chain for fulfilling the demands. To achieve supply chain objectives, organizations should control the activities for increasing the efficiency and effectiveness. Performance measurement is a set of metrics that a manager applying for controlling the planned tasks and investing amounts of resources for obtaining predetermined goals. All the Supply Chain performance measures can be divided into two major groups qualitative and quantitative. In recent years many methodologies have been developed in terms of quantitative measures but most of them merely focus on the control mechanism based on reported measures whereas the qualitative aspect of the work is still unexplored. In this thesis, a fuzzy logic framework is developed and data on responsiveness and reliability was collected and fed into it and the final performance of supply chain management was obtained. Responsiveness was found to be 66% for supply chains in Kenya; this indicates that responsiveness was found to be good. Further input of reliability data also indicated that supply chain reliability in Kenya was found to be 74%, which was also found to be good. Fusion of the two outputs resulted into the final output measuring supply chain management performance which was found to be 67%, this indicated that the supply chain performance in Kenya was found to be good.