application of fuzzy analytic hierarchy process in evaluation supply chain performance measurement

In modern trends of market, organizations face high pressure environment which is characterized by globalization, high competition and customer orientation, so it is very crucial to control and know the weak and strong points of supply chain in order to improve their performance. so the performance measurements presented as an important tool of supply chain management because it's enabled the organizations to control, understand, and improve their efficiency. this paper aims to identify supply chain performance measurement (scpm) by using fuzzy analytic hierarchy process (fahp). in our real application, the performance of organizations estimated based on four indicators these are cost parameter (cpi), inventory turnover parameter (inpi), raw material parameter (rmpi), and safety stock level parameter (sspi). these indicators vary in impact on performance depending upon policies and strategies of organization. in this research (fahp) technique has been used to identify the importance of such key parameters, and then first fuzzy inference (fir1) is applied to identify performance indicator of each factor depending on its importance and value. then, second fuzzy inference (fir2) also applied to integrate the effect of these indicators and identify (scpm) which represent the required output. the developed approach provides an effective tool for evaluation of supply chain performance measurement.