隨著科技的進步，工業生產模式的改變，製造產業的模式及環境也有重大的改變。相較於過去，以往的規模式大量製造生產，再透過配銷、零售等通路將產品配銷到消費者手上。這種大量生產模式的缺點在於，客戶對於商品的選擇權利有限。隨著市場需求的多元及多樣，傳統的生產模式無法立即打造專屬的生產線，以提供符合客戶心中理想的產品，同時客戶所需求的數量也未必足以提供大量生產所投資的利潤，因此有適合多樣少量的客製化零工式排程生產模式，將成為滿足人類多元需求的生產模式。在這種模式中，每張訂單在生產製造的流程上不盡相同且彼此獨立，為了完成這樣多元化的訂單需求，如何調度及安排生產製造的流程變成相當重要的課題，良好的排程不但可以在最短的時間內完成所有任務，更可以減少資源的花費、提高企業的獲利。
本研究以同時降低總完工時間及廠內部門總閒置時間為績效排程目標，利用基因演算法在有限時間內找出零工式生產的多目標排程解，並分析在不同規模大小的訂單數量下進行排程，與傳統的派工方法進行比較 以達成高稼動率且高效率生產這兩大目標。
透過研究分析結果顯示，本研究之基因演算排程方法不論排程訂單規模之大小，仍然可以在較短的時間內得到優於傳統派工方法的排程解，且在運算時間上較傳統排程方法有大幅度改善。雖然透過此法得到的排程僅是近似最佳解，但是其排程品質卻可以有效的幫助於決策者在排程策略上提供決策依據。

In the past mass production model, products are produced in a large quantity, through distributions, retails, ect., to delivery products into customer. Because of the diversity of market demand, the traditional mass production mode can’t create a dedicated production line to provide customers ideal products immediately. Therefore, the production model of job-shop with small amount will be the best choice to fulfilled the customer demand. In this situation, each order in the manufacturing process is not the same but independent of each other. In order to complete needs of diverse orders, how to arrange manufacturing process becomes a very important issue. Good schedule not only can complete all the tasks in the shortest time, but also can reduce the cost of resources and increase the profitability for enterprises.
This study focus on two goals. First, reduce the total completion time and factory idle time by using the genetic algorithm to find out schedules for job-shop scheduling within limited time. Second, at the same time, comparing with the traditional dispatching rule to analysis the scales of order quantity to achieve the high rate of movement and production efficiency.
Through the result of research and analysis, it showed that regardless of the scales of order quantity in the schedule, genetic algorithm can still has the better outcome of schedule arrangement within a short time which comp.

中文文獻
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