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Design of a Bi-objective Integrated Production-distribution Network with Stochastic Demand

Derakhshi, Mohammad | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48803 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Akhavan Niaki, Taghi
  7. Abstract:
  8. Supply chain has gained great interest from researchers in recent years. In this regard, proposing efficient and practical models that reflect different supply chain aspects is challenging. This research deals with an integrated production-distribution supply chain model which incorporates few parties along with some processes to obtain raw materials from raw material suppliers and to convert them to semi and final products and then distribute them indirectly using warehouses to end users. To tackle the problem, we propose a mixed integer linear programming model. Due to the combinatorial nature of the problem, a metaheuristic algorithm is designed to solve industrial size problems. Moreover, we consider demand uncertainty in the model. This uncertainty is considered as a dynamic stochastic data process during the planning horizons which is modeled as a scenario tree. So the previous model is extended to a mixed integer linear stochastic programming model for which a Genetic Algorithm base approach is proposed to solve it in a reasonable time. For testing computational effectiveness of the solution method, we present some numerical examples to confirm the aplicability of the proposed methodology. Furthermore, the model is generalized to its bi-objective version by considering accessibility of products which is based on the safety stock policy of companies. The former algorithm and an ϵ-constraint approach is combined together to obtain the approximate pareto front
  9. Keywords:
  10. Supply Chain ; Pareto Front ; Biobjective Function ; Scenario Reduction ; Stochastic Programming ; Production-Distribution Planning

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