碩士 / 國立交通大學 / 運輸與物流管理學系 / 105 / Freight transportation plays an important role in world economies. Nowadays, the transportation network becomes more and more complicated due to intermodal freight transportation. Any unexpected disruption occurring can impact the whole transportation network, such as typhoon, earthquake. These disruptions impose uncertainties to the operation and impact the level of service for freight transportation. Degradation of handling capacity causes the industry facing huge economic loss. To overcome the loss due to disruptions, it is imperative for the intermodal transportation network to improve its resilient ability. Resilience is defined as the ability of the network to return to its original state or an accepted state after being attacked by a disruption.
The objective of this study is to develop a mathematical model to evaluate the performance of a freight network after a disruption. By implementing preparedness actions and recovery actions, the restoring capability can be enhanced.
A two-stage stochastic program formulation is proposed in this study. Under a limited budget of preparedness actions, the decision maker decides the optimal places where preparedness actions are taken. After the disruption occurs, the decision maker decides the optimal places where recovery actions are taken under a limited budget of recovery actions. The first stage decides for the preparedness actions that can improve the capability of the network to face vulnerability under any disruption. The objective function is to maximize the resilience of the network subjecting to limited budget. And prepareness actions are the decision variables. The second stage is a max flow problem decides for the recovery actions.
The resulting ability to quantify the resilience level of the network would aid decision makers or the operators in determining the best set of preparedness and recovery actions to mitigate disaster effects after the disruption occurs. Policy makers can also use this framework to test some preparedness-related policy effects. Furthermore, the result would be able to enhance the resilience and hence the competitiveness of the transportation system.
| Identifer | oai:union.ndltd.org:TW/105NCTU5423001 |
| Date | January 2016 |
| Creators | Yang, Shu-Wun, 楊舒雯 |
| Contributors | Wong, Ka-Io, 黃家耀 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 42 |
Page generated in 0.0482 seconds