碩士 / 國立高雄第一科技大學 / 運輸倉儲營運所 / 93 / Designing transnational logistics networks has become a very important issue for global competition. The task may include selecting partner and facility location in unfamiliar regions, purchasing and capacity planning, product flow and transportation planning, and most importantly, how to meet heterogeneous demands in fragmented markets. Most studies focus on the designs that minimize the overall cost. This research proposes a multi-objective programming model with two conflicting goals: minimization of cost versus maximization of market satisfaction. The objective function of market satisfaction takes into account quality measures such as supplier capability, production quality, and the effect of product localization strategy.
This research also proposes combining mathematical programming and simulation analysis to solve design problems at the strategic level and the operational level. However, the literature lacks systematic guidelines to integrating model parameters and analytical solutions into the dynamics of simulation model. Different interpretations of the static model may affect the final decision significantly. Our analysis develops guidelines for each part of the integration process: demand assumptions, capacity constraints, transportation constraints, and decision variables. Numerical examples show that a proper integration of mathematical programming and simulation models can effectively identify good solutions that strike the balance between total cost and market satisfaction. The completion of this research can help developing an expert tool to design global logistics networks.
| Identifer | oai:union.ndltd.org:TW/093NKIT5678036 |
| Date | January 2005 |
| Creators | Wei-En Chen, 陳緯恩 |
| Contributors | Shin-Ming Guo, 郭幸民 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 110 |
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