Investigation and Evaluation of Supply Chain Resilience with Fuzzy Logic Approach (Empirical Evidence: Automobile Parts Manufacturing Industry in Mazandaran Province)

Supply chain needs cooperative instrument to face with environment challenge for survival in turbulent and volatile markets. This instrument is agility. In fact، business environment is constantly changing and change creates risk. The risk management is rapidly changing، competitive challenges that require elastic; namely ability to survive، adapt and grow in the face of turbulent change. Accordingly، the purpose of present paper is explanation and evaluation of resilience and supply chain resilience by means of an empirical examination in automobile parts manufacturing industry in Mazandaran. The sample in research was 31 companies، and data collection tools were questionnaire including some standard questions with reliability of 0. 85، and data were analyzed using fuzzy hypothesis test. The possibility of effectiveness of each factor is determined according to their membership functions of acceptance. Finally، it is concluded that managers must to support capability factors that have low membership functions and reduce effectiveness of vulnerability factors that have high membership functions to receive higher supply chain resilience.