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Green Flexible Supply Chain Network Design; A Genetic Algorithm Approach

Kazemian, Iman | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 46195 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Akbari Jokar, Mohammad Reza
  7. Abstract:
  8. This study aimed to develop a green network design for a multi-echelon multi-product supply chain with a focus on bottleneck points as the means of enhancing unutilized capacities to maintain the optimal levels of flexibility. Two different models were developed to compare different approaches of flexible capacity planning by minimizing the total cost of facility establishment as well as their utilization and transportation cost. The proposed mixed-integer linear programming model was characterized by its novelty in taking bottleneck points into account to build a platform for flexible capacity planning required for responding to uncertainties such as fluctuations in demand and new product development. The model was designed to enhance flexibility by allocating optimal unutilized capacities after recognizing bottlenecks by differentiating nominal and utilized capacities of the supply chain entities. The results indicated the superiority of the model to the previous flexibility formulation method. According to the numerical results, the proposed model decreased the total cost of the whole supply chain up to 27% in the best case scenario and 16% on average. Another advantageous feature of the proposed model was its capability in solving previously insoluble test problems by optimizing flexibility levels
  9. Keywords:
  10. Supply Chain Network Design ; Flexibility ; Bottleneck ; Green Design ; Uncertainty ; Multi-Echelon Inventory Control ; Steady State Genetic Algorithm

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