University of Tehran Press Advances in Industrial Engineering 2783-1744 52 2 2018 06 22 A Hybrid Approach to Risk Prioritization Based on Failure Analysis and Fuzzy Cognitive Map: A Case Study of the Automotive Parts Industry رویکردی ترکیبی برای اولویت‌بندی ریسک براساس تحلیل خطا و نقشه‌شناختی فازی (مطالعۀ موردی: صنعت قطعات خودرویی) 193 205 71065 10.22059/jieng.2018.203846.1096 EN Mustafa Jahangoshaye Rezaei Department of Industrial Engineering, Urmia University, Urmia, Iran Samuel Youssefi Department of Industrial Engineering, Urmia University, Urmia, Iran Majid Bagheri Department of Industrial Engineering, Urmia University, Urmia, Iran Journal Article 2016 04 06 The increase of competition, the extension of customer expectations and their frequent demand, and rapid technological changes have caused the rapid development of today’s manufacturer’s obligations. So that any deficiencies and deviations in the performance of the products lead to loss of manufacturer’s market share. In order to solve the problems and improve the quality of products, failures should be identified. In this study, potential failures are identified by implementing failure modes and effects analysis, by using the cross functional team in the car spare parts industry. Then, to achieve results according to the facts and to remove problem in risk priority number computation, and the identified interrelationships between failures are taken into consideration. Because the occurrence and control of any failure can affect other failures. In other words, the prioritization of failures based on the fuzzy cognitive map is done with regard to the three criteria including severity, occurrence and detection as well as interrelation between failures. A case study on auto parts manufacturing industry is used to show the abilities of integrating "failure modes and effects analysis-fuzzy cognitive map" for prioritizing failures. https://aie.ut.ac.ir/article_71065_bf7a5696b489acc652745856a6ba32f3.pdf