臺灣博碩士論文加值系統

近年來, 最佳化生產技術已成為生產規劃與排程的重要工具而批量流為最佳化生產技術最中要的一個觀念, 其目的就是將處理批量分割成幾個轉運批, 使同一處批理批量能在不同的製程上同時生產, 以縮短生產該處理批的總時間. 雖然批量流思考邏輯的概念, 已被廣泛的應用在實務上, 而且成效良好, 然而, 到目前為止有關批量流的相關文獻卻相當的少, 且大都只說明最佳化生產技術使用上的概念而已. 本研究首先在對最佳化生產技術的發展及內容做一有系統的探討, 並針對零工式生產系統與最佳化生產技術有極密切關係的批量流模式做深入研究, 在考量系統內總生產時間最短的情況下, 構建出一個零工式生產系統批量流最佳解的數學模式並以實驗分析零工式系統環境中, 批量分割的好處提供實務界一個重要參考.

For the last two decades, optimized production techology(OPT) has beenbecome an important tool for production planning and scheduling. Lot-streaming is the most important idea of OPT. The purpose of lot-streaming is to split aprocess batch into several transfer batches, therefore different manufacturing processes of the product can be run simultaneously so that the makespan of productcan be shortened. Although the concept of lot-streaming philosophy has been widely used in practice and has shown favorable ressults, up to present, most related literatures did not focus their discussion topics particularly on the quantitativeanalysis of lot-streaming. In this research, first, we make a general description on the development ofOPT. Second, a mathematical model for solving the job shop scheduling problemsis constructed by disjunctive graph representation concept. Finally, the experimentalanalysis is presented to show the advantage of the lot splitting in the job shop environment.