Abouzar Zangoueinezhad - Ph.D. Student of Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran
Adel Azar - Professor, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran

This paper attempts to propose a fuzzy based method for performance measurement (PM) by measuring competitiveness in supply chains (SCs). During the recent years, performance measurement of entire supply chains has became an important issue because it can provide important feedback information to enable managers to monitor performance, reveal progress, enhance motivation and communication, and diagnose problems. Nevertheless, the choice or design of an appropriate supply chain performance measurement system (PMS) is complex and unstructured. The existing performance measurement systems with many indicators fail to provide necessary support for strategy development, decision making, and performance improvement. In this research, linguistic variables were used to assess the ratings and weights for indicators and presenting an innovative performance measurement method. These linguistic variables can be expressed in triangular fuzzy numbers. Then, a fuzzy based method for competitiveness measurement in supply chains was designed, using the guidelines and attributes of the supply chain operations reference (SCOR) model. Finally, a numerical example shows effectiveness of the proposed method in performance measurement, selection of appropriate strategies, and identification of opportunities and threats.

ship-making Supply chains; Competitiveness; Performance measurement; SCOR model; Fuzzy set theory