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| 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 47316 (51)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Hajji, Alireza
  7. Abstract:
  8. This thesis presents an inventory control system which is based on Meta-heuristic Algorithms.In this thesis we will optimize the input values of our tree-echelon inventory model (keeping costs,stock worth,reorder costs,...) with these Algorithms. The presented method is able to determine the optimal stock level, costs of system and number of shipments in the system. The method is basically a decision support system (DES) and it is able to provide the order scheduling parameters of goods at operational level. The aim of the current research is to demonstrate that a Meta-heuristic algorithmis capable of solving complex inventory problems and with future improvements it is able to achieve coverfor all important parameters of the controlled system
  9. Keywords:
  10. Optimization ; Genetic Algorithm ; Inventory Management ; Meta Heuristic Algorithm ; Safety Stock ; Reorder Point

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