A Study of Inventory-Routing Problem for the Distribution System of Publishing Logistics Firm by Applying Hybrid Immune Genetic Algorithm
| Autor: | Hao-wei Lee, 李浩瑋 |
|---|---|
| Rok vydání: | 2011 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 99 This research applies a specific real logistics company’s operating data to study the Inventory-Routing problem. We first develop a mathematical model for this problem, next apply Savings method for the initial feasible solution, and finally implement Hybrid Immune Genetic Algorithm to obtain the optimal solution. The numerical examples are given to acquire the optimal total inventory routing cost, the optimal delivery routes, the economic order quantities, the optimal service levels, the reorder points for the retail stores in these proposed routes. The results show this model can be successfully applied in Inventory-Routing problem in a very efficient way. The performance of this proposed approach is also compared with Savings method, Tabu method, Genetic Algorithm and the current routing planning implemented by this specific logistics company. Consequently, the outcome of this study is very promising in many aspects and should be helpful to this logistics company for its future planning of the distribution system. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
|