In a supply chain network, implementing a sound management system in the process of shipment can lead to lower costs and increase customer satisfaction by improving the flow of products. Therefore, in this study, a multi-objective mathematical model was presented and so
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In a supply chain network, implementing a sound management system in the process of shipment can lead to lower costs and increase customer satisfaction by improving the flow of products. Therefore, in this study, a multi-objective mathematical model was presented and solved to optimize the vehicle routing problem by locating the warehouse in the green supply chain while simultaneously receiving and delivering goods. The main limitations considered in this model include manufacturers' capacity, vehicle capacity, vehicle selection based on green supply chain criteria, vehicle routing and cross-stock warehouse location to minimize costs and fuel consumption and reduce pollution. In this case, the goods received from suppliers will be delivered to customers on the route after being categorized in a cross-stock warehouse or delivered directly to customers if necessary. It is assumed that product pickup and delivery are allowed on a single route and there is also a planning horizon for receiving products on the go. In general, the model aims to determine the best route in the green supply chain mode and the optimal number of vehicles used in the distribution network so that the total operating and relocation costs are minimized. The proposed model was validated using Gams software and Comprehensive Criterion Method and the results were evaluated in accordance with the articles presented in this efficient field and compared to similar articles.
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