碩士 / 國立臺灣大學 / 工業工程學研究所 / 93 / The research of transportation problems with time-varying demand patterns are less to present in the past. This thesis proposes a new problem, which called multi-period transportation planning model, basing on traditional transportation problems and the concepts of aggregate planning, and presents the use of space-time network expansion method, which could transform the dynamic networks to time-independent ones.
According to the model, a linear and a simple non-linear programming methods are proposed to solve this problem with the support of LINGO tool. In addition, three computational studies on capacity reserving levels, amount of transportation varieties, and transportation costs varying between routes, are performed, evaluating how these factors changes overall costs in planning results. Due to the fact that changing demands may drive the performance of multi-period transportation planning model, 23 kinds of demand patterns are presented and solved, with analysis results demonstrating the effectiveness of the MPTP model at each time-varying demand modes, to offer information and suggestions for decision makers that devoted to down-costing through trading-off between production costs, transportation costs, and interests within inventories and quantities-on-routes.
| Identifer | oai:union.ndltd.org:TW/093NTU05030019 |
| Date | January 2005 |
| Creators | Hong-Wen Chang, 張宏文 |
| Contributors | 楊烽正 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 113 |
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