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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 49745 (01)
- University: Sharif University of Technology
- Department: Industrial Engineering
- Advisor(s): Akbari Jokar, Mohammad Reza
- Abstract:
- This thesis studies a multi-commodity, multi-period three layer cross-docking network design problem. It is based on a case study in the automotive industry to optimize the flow of auto-parts from automakers to the production sites. The use of cross-docks as a facility for the aggregation point in the supply chain, allows the rapid separation of goods to be sent to demand nodes. The problem is studied in two phases; the strategic phase for the location-allocation of cross-docks and the tactical phase for the routing of heterogeneous road transportation fleet. A mixed-integer programming formulation is presented for each phase to define the problem. Genetic and harmony search meta-heuristic algorithms are designed to solve the problem in the strategic phase and a genetic algorithm is designed to solve the problem in the tactical phase. Efficiency of proposed algorithms is evaluated by numerical studies and the results show that Genetic algorithm outperforms Harmony search in terms of quality and convergence rate in the strategic phase. Also, the Genetic algorithm developed for the tactical phase shows great performance in terms of speed compared with optimization software. In the end, the problem is solved by Genetic algorithm with real data provided by Saipa Corporation and the results are examined
- Keywords:
- Harmony Search Algorithm ; Vehicle Routing Problem ; Genetic Algorithm ; Facility location-Allocation Problem ; Cross Docking
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