汽車產業的發達，改變了製造過程。在受到第四次工業革命後，汽車製造模式推動以工業4.0模式進行生產，汽車零組件產業也深受其響。然而，以現況來看，傳統零組件產業生產模式轉換成工業4.0將存在著一定的難度，而原因在於工業 4.0 顛覆以往產品生產流程和人機協作模式。倘若藉由演算法改變生產排程，擺脫傳統以EXCEL的人工作業，將能大幅提升生產效率與改善目前生產現況。基於上述理由，本研究使用Python 3.6撰寫一套生產排程系統來進行料號挑選與產能規劃，應用於汽車之鋁輪框加工產業，將生產原料分類、機台維護與換機時間與庫存數量作為此套生產排程系統參數。使用多目標基因演算法，其中交配率及突變率參數提供兩種模式，分別為固定與動態模式，差別在於迭代次數於固定模式時數值無變化，而動態模式為迭代次數會隨著次數變化進行線性調整。 最後本研究以真實案例資料進行分析，欲透過與案例公司現行產能規劃方法進行比較並逐次修正系統，實證研究結果發現所提出的平準化生產架構相較於傳統人工方式更能以較高的效率且降低人為錯誤發生進行規劃。

The developed automobile industry has driven the relevant industrial chain. With the rise of environmental consciousness, the auto industry toward reducing emissions and improve fuel and other goals. Nowadays cars are constantly innovating. In addition to the progress of car body equipment, the manufacturing process is also affected by industry 4.0 and factory intelligence to change the production mode, and the upstream car components are also affected by it.Automotive components industry belongs to the upstream of the industry, the production pattern is a variety of flexible manufacturing. For the coming of the industrial age 4.0, need to improve the original manufacturing model, otherwise will lose the original competitive advantage. Therefore, how to digital transformation and keep competitive advantage is one of the important issues.

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