A Stochastics Model of the Distribution Center Location and Sizing Problem with Transportation Integration
| Autor: | Chen, Jan-Ren, 陳建任 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 108 When entering a new market, a company may first focus on securing upstream suppliers and establishing production factories. At the same time, agents are used to handle the distribution and develop customers. However, when demand continues to grow, the company can further consider setting up its own distribution system to improve service level and increase profit. Based on the market-entry approach, this study aims to optimize the location and sizing decision of the distribution centers (DCs), given the fixed locations of the suppliers, plants, and retailers. In particular, the supplier-plant and plant-DC transportation operations are integrated into the decision model to alleviate the potential impact of empty backhauls. In addition, demand uncertainty is taken into consideration to generate a robust decision. A stochastic programming (SP) problem has been defined in the form of a mixed-integer programming (MIP) model, and the problem is solved by a genetic algorithm (GA). Based on the numerical experiments, the total supply chain cost in general can be efficiently decreased after considering transportation integration and uncertain demand. In addition, the quality gap of the GA solution is less than 0.2% with respect to the optimal solution, and more than 50% of the computational time can be saved. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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