博碩士論文 103352028 完整後設資料紀錄

DC 欄位 語言
DC.contributor土木工程學系在職專班zh_TW
DC.creator江紋緣zh_TW
DC.creatorWen-Yuan Jiangen_US
dc.date.accessioned2016-7-13T07:39:07Z
dc.date.available2016-7-13T07:39:07Z
dc.date.issued2016
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=103352028
dc.contributor.department土木工程學系在職專班zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract臺北捷運公司高運量系統之列車運行時需要一名司機員於列車上執行勤務。每月皆須重新制定下個月之司機員輪班表。本研究應用最佳化理論進行司機員輪班表製作之排班作業。考量相關限制條件,使用LINGO 12.0版數學規劃套裝軟體及Microsoft Excel 2007版試算表軟體程式,分成兩階段建構模式,第一階段以每位司機員上班日數總和差異值達最小為目標,第二階段以每位司機員駕駛時間總和差異值達最小為目標,製作捷運公司司機員輪班表。 為了評估本研究模式之實用性,進行範例測試與分析,測試分析結果良好。本研究與人工經驗排班模式進行測試分析比較,發現本研究具有較好效益,且能提升製作司機員輪班表之排班作業工作效率並達成排班作業公平、公正之目的。本研究進行敏感度分析,得知重要參數之敏感度。本研究模式可做為決策者進行司機員輪班表排班作業之參考。zh_TW
dc.description.abstractA driver operates one train on the high capacity transit system of Taipei Rapid Transit Corporation. Per month is required to schedule the next month shift table. In this study, we use optimization theory to assign drivers’ shift table. Considerations related restrictions,we use LINGO 12.0 software and Microsoft Excel version 2007, divided into two stages of the construction mode. In the first phase, the goal is to balance the number of every driver’s working day. Second, it is to reduce the difference between the each driver working time. To assess the effectiveness of this mode of study, conduct testing and analysis paradigm, well test analysis results. It is more efficient than the model which human schedule. Moreover, it can achieve the purpose of the fair without human factors. This study was conducted sensitivity analysis, that the sensitivity of important parameters. The research model can be used as reference for the chief to make decision.en_US
DC.subject司機員輪班表zh_TW
DC.subject整數規劃zh_TW
DC.subject最佳化zh_TW
DC.subjectLINGOzh_TW
DC.subjectDrivers’ Shift Tableen_US
DC.subjectInteger Programmingen_US
DC.subjectOptimizationen_US
DC.subjectLINGOen_US
DC.title司機員排班作業最佳化模式之研究zh_TW
dc.language.isozh-TWzh-TW
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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