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。 ;A 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.
