碩士 / 國立成功大學 / 交通管理學系碩博士班 / 98 / This study constructs a partition model which imitates the thinking method of planners, adopt their past experience, and make minor modification to the existing plan without complete re-scheduling. The "memory" properties of an immune algorithm are used to build a database. If the same problem is encountered, the system will directly retrieve the historical data from the database. If a new problem is encountered, the system will extract a similar regional pattern from the database to evolve into a new optimal partition mode. The contribution of this study is to demonstrate a model which mimics planners’ thinking in their actual planning under urban traffic restrictions to improve the efficiency of daily urban logistics, and transmit the planning experience via "memory" characteristics. This study uses random delivery requirement to simulate everyday planning of 310 7-Eleven stores in Kaohsiung City. And exam the outcome after changing the work hours or services time to help enterprise choose the best decision of asset purchasing by taking trade-off between personnel overtime costs and fixed costs of vehicle purchase.
| Identifer | oai:union.ndltd.org:TW/098NCKU5119024 |
| Date | January 2010 |
| Creators | Hao-ShangWang, 王豪山 |
| Contributors | Pei-Chun Lin, 林珮珺 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 63 |
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