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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 48013 (01)
- University: Sharif University of Technology
- Department: Industrial Engineering
- Advisor(s): Akbari Jokar, Mohammad Reza
- Abstract:
- Optimizing multi-period modern distribution system is a challenging task due to high costs of constructions in urban areas and importance of fast and cheap goods delivery to customers. Various logistic techniques have been proposed to solve this issue. In this study, a new method is suggested to convert the strategic problem of finding depot location into a tactical problem. In addition, a vehicle routing method for multi-period distribution systems in high demand periods have been developed. For modeling this location-routing problem two objective functions have been considered as fallows minimizing the total time in the system to satisfy customer demand and operating costs. To solve this problem a fast non-dominated sorting genetic algorithm (NSGA||) has been used. Also inspired by the idea of adaptive genetic algorithm an adaptive NSGA|| method has been suggested. Results of this two method were compared. It was shown through simulations that one of the most important parameters affecting the objective functions is the period time length during which customer demands must be satisfied. Finally, the practical applications of this logistic technique has been investigated. Benefits of it on modern distribution systems has been explained
- Keywords:
- Logistics ; Multiobjective Optimization ; Location-Routing Problem (LRP) ; Non-Dominate Sorting Genetic Algorithm (NSGAII) Method ; Multi-period Distribution System ; Adaptive Genetic Algotithm
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