Seat allocation problem for multiple stops transportation systems
碩士 === 國立高雄第一科技大學 === 運籌管理所 === 98 === The seat allocation problem in transportation industries is an important issue because it directly affects the revenue. The seat allocation is usually planned based on an estimated demand. However, the travel demands have inherently stochastic feature. The sea...
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ndltd-TW-098NKIT56820162016-04-20T04:17:29Z http://ndltd.ncl.edu.tw/handle/74587667525091970400 Seat allocation problem for multiple stops transportation systems 多站停靠旅客座位配置問題 Cheng-Hao Chen 陳政豪 碩士 國立高雄第一科技大學 運籌管理所 98 The seat allocation problem in transportation industries is an important issue because it directly affects the revenue. The seat allocation is usually planned based on an estimated demand. However, the travel demands have inherently stochastic feature. The seat allocation planning based on a given demand cannot provide the most efficient service. This study addresses the seat allocation problem with demand uncertainty by applying stochastic programming technique. The three stochastic models are proposed for different situations. The data collected from the Taiwan High Speed Rail (THSR) was used to test the proposed models. The sensitivity analysis was conducted to know the influences of some important factors. The results show that the proposed models can provide promising solutions. Ta-Hui Yang 楊大輝 2010 學位論文 ; thesis 59 zh-TW |
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碩士 === 國立高雄第一科技大學 === 運籌管理所 === 98 === The seat allocation problem in transportation industries is an important issue because it directly affects the revenue. The seat allocation is usually planned based on an estimated demand. However, the travel demands have inherently stochastic feature. The seat allocation planning based on a given demand cannot provide the most efficient service. This study addresses the seat allocation problem with demand uncertainty by applying stochastic programming technique. The three stochastic models are proposed for different situations. The data collected from the Taiwan High Speed Rail (THSR) was used to test the proposed models. The sensitivity analysis was conducted to know the influences of some important factors. The results show that the proposed models can provide promising solutions.
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author2 |
Ta-Hui Yang |
author_facet |
Ta-Hui Yang Cheng-Hao Chen 陳政豪 |
author |
Cheng-Hao Chen 陳政豪 |
spellingShingle |
Cheng-Hao Chen 陳政豪 Seat allocation problem for multiple stops transportation systems |
author_sort |
Cheng-Hao Chen |
title |
Seat allocation problem for multiple stops transportation systems |
title_short |
Seat allocation problem for multiple stops transportation systems |
title_full |
Seat allocation problem for multiple stops transportation systems |
title_fullStr |
Seat allocation problem for multiple stops transportation systems |
title_full_unstemmed |
Seat allocation problem for multiple stops transportation systems |
title_sort |
seat allocation problem for multiple stops transportation systems |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/74587667525091970400 |
work_keys_str_mv |
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1718227593792061440 |