Provide a system dynamics model for optimizing multi-objective production-inventory-routing in the green supply chain under conditions of uncertainty

This study examines the cost, customer satisfaction and environmental protection to design a multi-objective optimization model using system dynamics and to provide a system dynamics model for multi-objective production-inventory-routing in the green supply chain under uncertainty. Considers.By customer demand for several periods, the model can make decisions by focusing on decisions such as the choice of supplier and retailer according to the distance between them, production models and the nascent level of transportation technology. For this purpose, to collect information, first using previous studies, the variables affecting the model (20 variables) were determined, then according to the experts, these variables were analyzed, then the relationships between the selected variables using the model. Cause and effect were identified and then the research modeling was completed by designing a system dynamics model and evaluating it through tests defined by execution in vensim software. Finally, three scenarios were developed to determine the strategies affecting the model. The results indicate the most effective strategies in achieving the desired situation, maximum customer satisfaction, minimum cost and inventory and maximum production with proper implementation of ongoing projects in the direction of green production using appropriate technical knowledge.