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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 53969 (01)
- University: Sharif University of Technology
- Department: Industrial Engineering
- Advisor(s): Akbari Jokar, Mohammad Reza
- Abstract:
- Environmental problems and the consequent governmental regulations, has led supply chains into reverse and closed-loop supply chains. Application of problems such as "Vehicle Routing Problem” has diminished in the closed-loop supply chain, and instead of them, the problem of "Vehicle Routing Problem with Deliveries and Pickups" has become more important. On the other hand, tendency of supply chains to running information in the chain in a desired way, has led to grow the attention to establishing policies of “Vendor Managed Inventory". It seems that by tending the supply chains to closed-loop supply chains which are utilizing the policy of "Vendor Managed Inventory", application of problems such as" Vehicle Routing Problem with Deliveries and Pickups " has diminished and instead of that, the issue of "Inventory Routing Problem with Deliveries and Pickups" has become more important .Therefore, This research is accomplished to study the problem of " Inventory Routing Problem with Deliveries and Pickups". In this regard, a Mixed Integer Programming model is presented for this problem. Since, this issue is in the range of NP-hard issues, Genetic-Ant Colony Optimization and Genetic-Tabu Search are given as two hybrid metaheuristic algorithms for solving them.The results of the executing these algorithms suggest that Genetic-Ant Colony Optimization and Genetic-Tabu Search algorithms in small and medium scale problems has output which is close to the optimal solution. And, in large scale problems, Genetic-Ant Colony Optimization has superior performance than the Genetic-Tabu Search algorithm
- Keywords:
- Reverse Supply Chain ; Genetic Algorithm ; Hybrid Algorithm ; Pickup ; Tabu Search Algorithm ; Ant Colony Algorithm ; Inventory-Routing Problem (IRP) ; Inventory-Routing Problem with Backhauling (IRPB)
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