碩士 / 淡江大學 / 運輸管理學系碩士班 / 99 / Transportation programming, a process of selecting final sets of projects for funding given budget and other constraints, is becoming more complex as a result of new federal laws, local planning regulations, and increased public involvement. This study develops a grey multiobjective project portfolio programming model towards the problem of transportation programming. In contrast with other conventional transportation programming models, a mathematical programming model for choosing optimum portfolios of transportation projects is developed. Maximize the net present worth of project portfolios and the mean-variance criteria are taken into consideration. Since the programming tasks are filled with uncertainties, the parameters (costs, benefits, and budgets) and mean-variance of project period are all designed as grey numbers, which represented the possible ranges other than crisp values. Additionally, a grey TOPSIS approach for solving the proposed model is developed. Finally, a case study with a numerical example demonstrates the feasibility of applying the proposed models. Sensitivity analysis is also discussed. The results of this study verify that the models are practicable, and also provide higher flexibility on decision-making for transportation programming.
| Identifer | oai:union.ndltd.org:TW/099TKU05425009 |
| Date | January 2011 |
| Creators | Ji-Yun Niou, 牛紀芸 |
| Contributors | Yuh-Horng Wen, 溫裕弘 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 67 |
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