臺灣博碩士論文加值系統

精簡控制在減少浪費及增進顧客服務各方面已有成功的應用。雖然目前已發展出許多模式用來克服其限制，例如判斷出不必要的移動、存貨及多餘的搬運等，但這些模式無法確定由哪些重點流程來開始進行精簡控制。在本文中 ，透過以價值流來呈現目前的製造過程，及採用約略集合理論來找出被視為重點的流程類型，而這些是精簡控制所最需要的部分。之後再以一般化的 label-correcting (GLC) 方法來決定在精簡製造中所需的流程範圍，此在價值流中不易呈現。這個方法論適用於有混合型態的反覆製造環境，例如零工型或是流程型生產，並達到全面減少在製品存量的目標，這亦是精簡生產的目標之一。
　　這個方法相當新穎因不同型態的問題能以一個演算法來解決，歸納出的規則能有效地找出重點流程類型，並且能以系統思考的觀點來減少浪費。

The Lean control approach has been successfully applied to reduce waste and improve customer service in many areas. Although numerous models have been developed to overcome its limitations, such as determining unnecessary moving, unnecessary inventory, and redundant transportation, they do not, however, identify focused stages in which to start lean control. In this study, after using value stream mapping (VSM) to show the current state of manufacturing processes, rough set theory is adopted and aims at identifying types of focused stages, where lean control is most required. Then a generalized label-correcting algorithm is developed to determine the desired stages of lean manufacturing, which are difficult to show in the VSM. This methodology is suitable for a repetitive manufacturing environment of mixed type, i.e., job shop and flow shop, and achieves the goal of reducing WIP globally, which is the focus of lean production.
The approach is novel because different types of problems can be solved with one algorithm; the reduct rules can be inducted to determine focus stages efficiently; and waste is reduced in the viewpoint of system thinking.

誌 謝............................................. i
中文摘要............................................. ii
Abstract ............................................ iii
List of Contents..................................... iv
List of Figures...................................... v
List of Tables....................................... vi
Chapter 1 Introduction............................... 1
Chapter 2 VSM methodology............................ 5
Chapter 3 Lean control methodology................... 11
3.1 Rough Set........................................ 11
3.1.1 Expert-based Rule Identification Algorithm..... 13
3.1.2 Implementation................................. 17
3.1.3 Comparison of Rule Identification Algorithm and Expert-
based Rule Identification Algorithm............ 28
3.2 The generalized label-correcting algorithm....... 30
3.3 Solution approach to determining focus stages and lean
control.......................................... 34
Chapter 4 Simulation................................. 39
4.1 Simulation scenario.............................. 40
4.2 Analysis of simulation results................... 41
Chapter 5 Conclusion................................. 44
References........ ................................... 45
Appendix A. Lean manufacturing in Taiwan............. 49
Appendix B. IDEF3 model for the oval-gear flow-meter production
process................................... 51
Appendix C. Steps of the generalized LC algorithm..... 52
Appendix D. Rule Identification Algorithm............. 54
Appendix E. Arena Model............................... 59

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