隨著科技時代的進步，消費者的需求趨向多樣化的形態，在產品生命週期（Product Life Cycle）逐漸縮短之下，多樣少量式生產系統如零工型工廠(Job Shop)便廣為製造業應用，在生產計劃與排程的工作中「最佳化生產技術」被視為一項重要的工具，批量分割(或稱批量流)乃是這項技術重要的核心，其目的就是將處理批量分割成幾個轉運批，使同一處理批量能在不同的製程上同時生產，以縮短生產該處理批量的總完工時間。
本研究藉由模擬零工型(Job Shops)製造系統的生產過程與動態事件發生的情況，來探討加工時間、批量分割等參數之改變與對於「總完工時間」、「平均流程時間」、「平均機器利用率」、「緊急訂單完成時間」以及「平均在製品數量」等績效評估準則的影響，藉此找出最佳的批量分割方式，使製造系統能夠有效應付動態以及多變的生產需求，並且提供決策者快速又正確的生產資訊。

Since the consumer behavior has change the single product type into product diversification, the product life cycle has reduced qradually. Therefore, the Small-Lot-Multiple-Type Production System, such as job shop, has been used to manufacture products extensively. Optimized Production Technology(OPT) has become an important way for production planning and scheduling. Lot-splitting is the most important core of OPT. The purpose of lot-splitting is to shorten the total completion time with dividing the process batch into several transfer batches.
In order to discuss the effect of the changes parameter on effectiveness evaluation, we use simulation software to simulate the manufacturer processes and the dynamic events in job shops system. According to the simulation results, we can find the bast way of lot-splitting to provide the correct production information for policymaking.

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