Kharazmi University International Journal of Supply and Operations Management 2383-1359 11 3 2024 08 01 Designing a Resilient Multi-Objective Meat Supply Chain: A Robust Possibilistic Approach 367 389 2935 10.22034/ijsom.2024.109573.2492 EN Mohammad Mousazadeh Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran 0000-0003-1792-0172 Pooneh Pasha Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran Journal Article 2022 03 04 Population growth has led to more food demand, especially meat. Designing a supply chain, especially a meat one, is complicated due to the uncertainty of food demand and the perishability of meat. To this aim, we develop a multi-objective mixed-integer linear programming model. The developed model contains four echelons, i.e., farms, slaughterhouses, retailers, and customers. The first objective function minimizes the total costs, the second objective minimizes the distribution time, and the third objective minimizes the network's non-resiliency simultaneously. An enhanced version of the augmented ε-constraint method is employed to solve the suggested model, and a set of Pareto–optimal solutions is found. This study also explores the impact of using the robust possibilistic approach in modeling a supply chain network under uncertainty. Numerical experiments demonstrate that the robust optimization approach brings significantly superior outcomes in comparison to the conventional deterministic approach, and the model provides a practical and valuable tool for real-world supply chain challenges. http://www.ijsom.com/article_2935_b6617980ce90f637e68c3ebe8b9be745.pdf