Designing a Bi-objective Meat Supply Chain Network Model with Resilience under Uncertainty

Document Type : Research Paper

Authors

1 MSc, Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Tehran, Iran

2 Assistant professor, Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Tehran, Iran

Abstract

The meat supply chain is crucial in meeting household nutritional needs, public health, and food security. The meat supply chain's inherent dynamic and uncertain nature, along with existing risks and disruptions, has made optimizing the supply chain for resilience unavoidable. For various reasons, suppliers may experience partial disruptions and be unable to service their customers promptly. In this paper, we propose an integrated design of a fresh meat supply chain network that considers resilience strategies such as capacity expansion through contracts with reliable suppliers under demand uncertainty using a robust approach. The objectives of this research are to minimize total transportation costs and fixed costs and maximize the service level of the supply chain. Key decisions in the proposed supply chain network include selecting farms from available farms, allocating locations to slaughterhouses, selecting retailers for selling meat products and processed meat products, determining the flow of selected materials between facilities at different levels of the proposed supply chain network, identifying meat supply chain network risks, and determining the level of supply chain service. The problem is modeled based on a bi-objective mixed-integer programming approach. Finally, the augmented ε-constraint method is used to solve the problem, and the performance and efficiency of the model are evaluated and analyzed using numerical examples and compared to the base model in the research literature.

Keywords

Main Subjects

References

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Journal of Industrial Engineering Research in Production Systems
Volume 12, Issue 24
September 2024
Pages 147-165

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