Optimal allocation of cashier and dispensary servers in large hospitals
碩士 === 國立臺北科技大學 === 資訊與運籌管理研究所 === 101 === This study presents a multi-objective model to determine the optimal numbers of cashiers and dispensaries in a large hospital. The objectives are to minimize the total expected weighted waiting cost and the service cost. A point-wise fluid-based approximati...
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ndltd-TW-101TIT057150042019-05-15T21:02:29Z http://ndltd.ncl.edu.tw/handle/tn8xh6 Optimal allocation of cashier and dispensary servers in large hospitals 大型醫院批價與領藥服務人力配置之最佳化模型 Tsung-Chi Yu 余宗琪 碩士 國立臺北科技大學 資訊與運籌管理研究所 101 This study presents a multi-objective model to determine the optimal numbers of cashiers and dispensaries in a large hospital. The objectives are to minimize the total expected weighted waiting cost and the service cost. A point-wise fluid-based approximation approach is adopted to construct a dynamic queuing system that describes the expected queue length of customer. The dynamic queuing system is then encapsulated in an optimization model that determines optimal time-varying numbers of cashier and dispensary servers per time unit and subject to the minimal and maximal server requirements set by the hospital. A test problem instance was designed based on a large hospital in Taipei city, and the MINOS solver of GAMS was applied to solve for the optimal time-varying cashier and dispensary servers. The sensitivity analyses were also conducted to examine the impacts of customer arrival rates, service rates, and weights of the cost components in the objective function on the waiting cost and operational cost. 盧宗成 2013 學位論文 ; thesis 45 zh-TW |
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碩士 === 國立臺北科技大學 === 資訊與運籌管理研究所 === 101 === This study presents a multi-objective model to determine the optimal numbers of cashiers and dispensaries in a large hospital. The objectives are to minimize the total expected weighted waiting cost and the service cost. A point-wise fluid-based approximation approach is adopted to construct a dynamic queuing system that describes the expected queue length of customer. The dynamic queuing system is then encapsulated in an optimization model that determines optimal time-varying numbers of cashier and dispensary servers per time unit and subject to the minimal and maximal server requirements set by the hospital. A test problem instance was designed based on a large hospital in Taipei city, and the MINOS solver of GAMS was applied to solve for the optimal time-varying cashier and dispensary servers. The sensitivity analyses were also conducted to examine the impacts of customer arrival rates, service rates, and weights of the cost components in the objective function on the waiting cost and operational cost.
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盧宗成 |
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盧宗成 Tsung-Chi Yu 余宗琪 |
author |
Tsung-Chi Yu 余宗琪 |
spellingShingle |
Tsung-Chi Yu 余宗琪 Optimal allocation of cashier and dispensary servers in large hospitals |
author_sort |
Tsung-Chi Yu |
title |
Optimal allocation of cashier and dispensary servers in large hospitals |
title_short |
Optimal allocation of cashier and dispensary servers in large hospitals |
title_full |
Optimal allocation of cashier and dispensary servers in large hospitals |
title_fullStr |
Optimal allocation of cashier and dispensary servers in large hospitals |
title_full_unstemmed |
Optimal allocation of cashier and dispensary servers in large hospitals |
title_sort |
optimal allocation of cashier and dispensary servers in large hospitals |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/tn8xh6 |
work_keys_str_mv |
AT tsungchiyu optimalallocationofcashieranddispensaryserversinlargehospitals AT yúzōngqí optimalallocationofcashieranddispensaryserversinlargehospitals AT tsungchiyu dàxíngyīyuànpījiàyǔlǐngyàofúwùrénlìpèizhìzhīzuìjiāhuàmóxíng AT yúzōngqí dàxíngyīyuànpījiàyǔlǐngyàofúwùrénlìpèizhìzhīzuìjiāhuàmóxíng |
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