developing a model for sustainability assessment in larg supply chains using system ‎dynamics‎‎‎

Due to the growing global pressures for industries to become more sustainable, organizations are forced to implement new management practices at all organizational levels to achieve sustainability in the supply chain. new management practices should be measured in terms of assessing the sustainability performance. the purpose of this paper is to provide a model for assessing the sustainability performance of lean, agile, resilient, and green (larg) supply chain management practices in the automotive supply chain using the system dynamics approach. in this paper, larg supply chain management practices were identified and were prioritized using fuzzy dematel and fuzzy analytic network process. the findings show that scenarios of improvement in the implementation of total quality management, just in time, exible transportation and combined scenario (just in time and long-term relationships with suppliers) will lead to a more sustainable supply chain. the results of these scenarios show improvement of sustainability in the supply chain. also the results show that lean strategy is a very important for achieving sustainability in the supply chain.