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An Integrated Multi-criteria Decision Making Approach for a Sustainable Supply Chain Network Design

Arian, Ebrahim | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47849 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Shavandi, Hassan
  7. Abstract:
  8. Growing concerns towards social and environmental issues besides economic in supply chain causes that the sustainable supply chain become one of the most important concepts in a supply chain. Likewise, a supply chain network design which is profound influence on long-run economic, environmental, and social decisions is one of the key and strategic topics in a supply chain. In this study, we represent an integrated approach for a three-layer sustainable supply chain network design with routing and different transportation modes, the objectives of which are minimizing total costs, a minimizing 〖CO〗_2 emissions of transportation, and maximizing total values of social purchasing. In this sustainable supply chain network design, we consider supplier selection, location-routing problem, assigning, establishing number and type of transportation in each route, and specifying amount of production in each plants simultaneously. First, A multi-attribute decision making approach, AHP-TOPSIS, has been used to obtain a social weight of each supplier to establish a social objective based on defined social criteria. Then, Multi-objective approach for solving the model is proposed which is combination of the three heuristics algorithms and NSGA-II. In term of performance, this combination algorithm has been compared with NSGA-II with defined metrics in a set of numerical experiments in different sizes of problem, and has been illustrated that this combination algorithm outperforms NSGA-II in all metrics. Meanwhile, we conduct four sensitivity analyses to provide some significant managerial decisions policies and insights, when a supply chain has been modified
  9. Keywords:
  10. Sustainable Supply Chain ; Supplier Selection ; Location-Routing Problem (LRP) ; Multiobjective Optimization ; Location-Routing Problem (LRP) ; Supply Chain Network Design

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