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Designing Supply Chain and Logistics Network with Multiple Objective Functions under Uncertainty

Safaei, Sepehr | 2025

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57910 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Rezapor Niari, Maryam
  7. Abstract:
  8. Wheat and flour are vital components of the food supply chain, and disruptions in their supply can have profound economic, social, and political impacts. This study focuses on optimizing the costs of the wheat and flour supply chain, encompassing production, imports, transportation, and shortages, while fostering economic and social development. A two-objective Mixed Integer Linear Programming (MILP) model is developed, integrating uncertainty through a two-stage stochastic programming approach based on scenarios. The augmented epsilon constraint method is utilized to address the bi-objective optimization problem. Key outcomes include identifying optimal locations for silo construction, designing an efficient supply chain network, and determining the ideal volume of wheat imports. The findings reveal that the proposed model not only minimizes costs but also strengthens domestic production, reduces reliance on imports, and curbs the migration of farmers to urban areas. Furthermore, this approach significantly enhances the economic and social development of underdeveloped regions. The research is applied to Iran as a case study, demonstrating the model’s practical relevance and effectiveness in addressing real-world challenges in the wheat and flour supply chain. This study provides valuable insights for policymakers and stakeholders aiming to balance cost efficiency with sustainable development goals
  9. Keywords:
  10. Facility Location Model ; Two Stage Stochastic Optimization ; Supply Chain Management (SCM) ; Wheat Flour ; Wheat Import Planning ; Wheat And Flour Supply Chain ; Mixed Integer Linear Programming ; Uncertainty

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