فهرست نشریات علمی دسترسی آزاد ایران

This study introduces a novel multi-objective mathematical model that optimizes the number of new manufacturers and distribution centers, manages inventory levels at the end of each period, and regulates the flow between different supply chain tiers. The proposed network encompasses various product types, employs multiple transportation modes, and is considered a multi-period time horizon. For this, a new mixed integer programming model under uncertainty is proposed to minimize the supply chain cost, greenhouse gas emissions, and manufacturer water consumption and improve the health and employment index. With these objectives, a sustainable supply chain develops so that the presence of epidemic diseases causes uncertainty in the model. Scenario-based stochastic mixed integer programming includes proposed social, environmental, and economic objective functions. For model performance examination, a real-world case study in the dairy products industry was investigated. The results demonstrate the effectiveness of the proposed model in developing an optimized managerial decision that causes a reduction in costs by as much as 2.6% and greenhouse gas emissions by 5.6%.