碩士 / 國立臺灣海洋大學 / 運輸科學系 / 107 / In this study, we deal with the problem of short-term transportation outsourcing for transshipment centers. The carrier needs to determine the numbers of outsourced and self-run trips for the different types of transportation tasks. Stochastic demands which are likely to occur in actual operation are considered. Different trip numbers need to be determined in sequence, so a two-stage stochastic programming technique is applied to formulate the problem. Also considering the willingness of the self-run driver to drive the daily trips, which we set up the binomial distribution to determine the probability of considering trips plan.
The model was developed based upon practical considerations to help determine the optimal transportation outsourcing plan. A low-cost priority heuristic algorithm based on a genetic algorithm was proposed. A case study regarding the operations of a logistics carrier in Taiwan was performed. Several tests which considering optimality gaps, variations in willingness of self-run driver, outsourcing cost variations are also performed. Problem dimensions in order to better understand the performance of the proposed algorithm.
| Identifer | oai:union.ndltd.org:TW/107NTOU5279004 |
| Date | January 2018 |
| Creators | Wang, Yi-Wen, 王奕文 |
| Contributors | Tang, Ching-H, 湯慶輝 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 62 |
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