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捷運司機員輪班最佳化之研究

OPTIMAL CREW ROSTERING FOR MRT DRIVERS

摘要


本研究應用最佳化理論及整數規劃方法進行捷運司機員輪班表製作之排班作業,考量相關限制條件,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。為評估模式之實用性,本研究進行範例測試並與人工經驗排班方式進行測試分析比較,發現本研究模式具有較佳效益,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之目的。本研究並進行敏感度分析,得知重要參數之敏感度。本研究模式及測試結果可做為決策者進行司機員輪班表排班作業之參考。

並列摘要


In this study, we use optimization theory and integer programming method to design MRT drivers' shift table. In particular, we divided the process into two stages to construct models considering related operating constraints. In the first stage, the objective is to balance the number of working days for every driver. In the second stage, the aim is to balance the working time for every driver. To evaluate the effectiveness of the proposed models, we perform a case study and compare the proposed models with manual method. It is found that the models are both more efficient and effective than the manual method. Moreover, the models can assist the decision maker in achieving the fairness in designing the drivers' shift table. This study also conducted sensitivity analyses on a number of important parameters. The proposed models with the test results can be useful references for MRT decision makres in designing drivers’ shift tables.

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