Optimization models and solution algorithms for facility location problems

• Main Authors: Heng-Hsing Chu, 朱恒興
• Other Authors: 吳建文
• Format: Others
• Language: en_US
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/xhn545

博士 === 國立臺北科技大學 === 管理學院管理博士班 === 105 === The facility location problem is a significant important combinatorial optimization problem that has a broad application and development. The models of facility location problem can be defined differently in its objective function, constraints, solution space and several other decision factors. In the modern industrial development environment, planning warehouses and retailer locations properly may effectively promote an enterprise’s operational efficiency, and enhances the effectiveness of logistics and supply chain implementation. In many real life situations, with the popularization of the compound hypermarket and depot in recent years (combined with warehouses with retailers), the applications of facilities location planning issue are very important and worth to be discussed. In addition, the limited space of the urban environment may lead to practical problems in locating a large warehouses facility in a single location, and may need to be partitioned and placed at different locations with synergy patterns to fulfill the orders from retailers. Therefore, this study we propose to discuss the positioned mobilization warehouse deployment problem, facility partition location covering problem (FPLCP), hierarchical multiple-distinct facilities location problems (HMDFLP) and its applications related to warehouse and retailer facility location aspect, and put forward solving algorithms for these problems. The experimental and practical application results show that it has significant improvement in effectiveness and has a significant contribution in a realistic location environment to promote industry development.