Journal of Industrial and Systems Engineering

Journal of Industrial and Systems Engineering

Designing sustainable perishable food supply chain under disruption risks: A case study of dairy products

Document Type : Research Paper

Authors
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract
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%.
Keywords
Subjects

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Volume 17, Issue 2 - Serial Number 2
Spring 2025
Pages 197-220

  • Receive Date 18 October 2024
  • Revise Date 18 February 2025
  • Accept Date 29 May 2025