The present study aimed to identify components of resistance economy index in the resilient supply chain of automotive industry in Iran by fuzzy Delphi technique, weight and prioritize them through the Best-Worst Method (BWM), and assess and rank Iran Khodro, Saipa and Pars Khodro Industrial Groups for their performance of using the resilience in supply chains through MAPPAC and QUALIFLEX techniques, and finally aggregate results by Borda technique. The present statistical sample and population consisted of 10 logistics senior managers in automotive companies. Results of screening strategies by a fuzzy Delphi method indicated that a native model had six dimensions and forty-two indices. According to results of weighting supply chain resilience strategy dimensions by the BWM, the Jahadi management was the most important dimension of the supply chain resilience, and then the merit maturity was put in the second place, and the agility, redundancy, flexibility and risk management culture were ranked third to sixth respectively. Indices of each dimension were also weighted and ranked. The automotive companies were then evaluated by the proposed model and through MAPPAC and QUALIFLEX techniques.The results of the techniquies integration by Borda method showed up, Iran Khodro got the first rank; Saipa got the second rank and Pars Khodro got the third rank in terms of supply chain resilience.
Identification of Resistance Economics Components in Resiliency Supply Chain of Iranian Automotive Industry
Journal of Industrial Management Faculty of Humaities, Volume:14 Issue:49, 2019
1 - 18
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