Post-disaster multi-period road network repair: work scheduling and relief logistics optimization
We develop a multi-period bi-level programming model for the post-disaster road network repair work scheduling and relief logistics problem. A maximum relative satisfaction degree-based steady-state parallel genetic algorithm is designed to solve this model. In order to validate and test the effecti...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
Springer New York LLC
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/71117 |
| _version_ | 1848762393894584320 |
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| author | Li, S. Teo, Kok Lay |
| author_facet | Li, S. Teo, Kok Lay |
| author_sort | Li, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | We develop a multi-period bi-level programming model for the post-disaster road network repair work scheduling and relief logistics problem. A maximum relative satisfaction degree-based steady-state parallel genetic algorithm is designed to solve this model. In order to validate and test the effectiveness of the presented mathematical model and method, we use a network generator to create numerical examples with different scales and characteristics of road network. Our numerical analysis of the solutions shows that the proposed mathematical model and method can effectively assist the decision-makers to deal with the road network repair work scheduling and relief logistics optimization problem during the emergency response phase. This mathematical model and the approach being developed are applied to deal with the case of Wenchuan earthquake in China. The results show that the required CPU time is short enough such that it meets the time limitation in the emergency response phase, and the strategy of road network repair scheduling will allow repair of the damaged roads to be completed before the end of the planning time horizon by 14.93%. Furthermore, the strategy of relief logistics can provide an efficient relief allocation and transportation path. |
| first_indexed | 2025-11-14T10:46:52Z |
| format | Journal Article |
| id | curtin-20.500.11937-71117 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:46:52Z |
| publishDate | 2018 |
| publisher | Springer New York LLC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-711172019-03-27T02:06:42Z Post-disaster multi-period road network repair: work scheduling and relief logistics optimization Li, S. Teo, Kok Lay We develop a multi-period bi-level programming model for the post-disaster road network repair work scheduling and relief logistics problem. A maximum relative satisfaction degree-based steady-state parallel genetic algorithm is designed to solve this model. In order to validate and test the effectiveness of the presented mathematical model and method, we use a network generator to create numerical examples with different scales and characteristics of road network. Our numerical analysis of the solutions shows that the proposed mathematical model and method can effectively assist the decision-makers to deal with the road network repair work scheduling and relief logistics optimization problem during the emergency response phase. This mathematical model and the approach being developed are applied to deal with the case of Wenchuan earthquake in China. The results show that the required CPU time is short enough such that it meets the time limitation in the emergency response phase, and the strategy of road network repair scheduling will allow repair of the damaged roads to be completed before the end of the planning time horizon by 14.93%. Furthermore, the strategy of relief logistics can provide an efficient relief allocation and transportation path. 2018 Journal Article http://hdl.handle.net/20.500.11937/71117 10.1007/s10479-018-3037-2 Springer New York LLC restricted |
| spellingShingle | Li, S. Teo, Kok Lay Post-disaster multi-period road network repair: work scheduling and relief logistics optimization |
| title | Post-disaster multi-period road network repair: work scheduling and relief logistics optimization |
| title_full | Post-disaster multi-period road network repair: work scheduling and relief logistics optimization |
| title_fullStr | Post-disaster multi-period road network repair: work scheduling and relief logistics optimization |
| title_full_unstemmed | Post-disaster multi-period road network repair: work scheduling and relief logistics optimization |
| title_short | Post-disaster multi-period road network repair: work scheduling and relief logistics optimization |
| title_sort | post-disaster multi-period road network repair: work scheduling and relief logistics optimization |
| url | http://hdl.handle.net/20.500.11937/71117 |