博碩士論文 964306013 詳細資訊




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姓名 鄭聰得(Tsung-Te Cheng)  查詢紙本館藏   畢業系所 工業管理研究所在職專班
論文名稱 多目標規劃最佳六標準差水準: 以薄膜電晶體液晶顯示器C公司製造流程為例
(The Multi-objectives (Goal) Programming of Optimal Six Sigma Level: A Case Study of the TFT LCD Manufacturing Process of C-company )
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摘要(中) 六標準差研究建議公司為符合顧客要求而不斷進行品質改善。但是,六標準差專案的重要目標是減少品質成本進而獲得利潤。許多公司為增加產能與利潤進行品質持續改善。六標準差手法是對品質改善朝向六標準製程無變異的有效工具。但是,組織應考慮完成六標準差專案可能投入成本及重要性,專案經理或主管對於了解六標準差目的及設定最佳的改善門檻絶非易事。現在,我們試著發展一套多目標規劃模型,以評估六標準差專案決策,協助主管與專案領導人評估製程改善機會。此多目標規劃模型可計算製程標準差水準,並考慮液晶顯示器多段製程生產良率。並考量其他因子: 例如投資成本、利潤及期望標準差水準…等等。
研究結果顯示,多目標規劃模型能夠同時計算出最佳的六標準差水準及組織利潤。我們可以決定繼續或終止六標準差專案,當此專案符合顧客所要求的最佳品質而進行策略性的考量。當組織欲決定最佳製程的選擇時,必須考量到許多的限制條件,例如最小投資成本、改善預算、最大標準差水準及最佳製程能力…等等。多目標規劃可得最佳解, 而藉六標準差水準決策模式能夠有效的幫助主管決定六標準差專案是否值得推行。
摘要(英) Researchers of Six Sigma have often suggested that the quality improvement activities are continuous in order to meet customer satisfaction or requirement. Another important objective of a six sigma project was to gain the profit result from the decreased Cost of poor quality (COPQ) after improvement has been done. The most of enterprises were carrying out quality continuous improvement in order to increase productivity and profit margin. Six sigma was an effective tool to improve quality and ultimately the goal of Six Sigma is to move toward no variation in process. However, considering the extra investment that may be made in a six sigma project, it is important to identify the profit that is brought to the organizations. On the other hand, it wasn’t easily for a project leader or manager to understand the purpose and to set a threshold to decide when the improving was optimal. Now, we try to develop a model to evaluate the six sigma project decision making with a multi-objective programming model that will assist manager and project leader to decide process improving opportunities. It is a multi-objective goal programming model about calculating Sigma level for a typical Thin Film Transistor (TFT) process. The model considers a multi-stage process rolled throughput yield in a TFT Liquid Crystal Display (LCD) major Array, Cell and Module process. Meanwhile, the other factors such as investment cost, profit …and expected sigma level will be also taken in consideration in this model.
Result of this study showed a multi-objectives goal programming model can calculate the optimal six sigma level for performing process alternative and the organization can reap the profit from it at the same time. We can determine to continue or to terminate the six sigma project to meet optimal quality from VOC with strategic consideration. When the organizations want to decide the optimal process alternatives, the organizations need to consider many constraints such as minimum cost investment, improvement budget, maximum sigma level and optimal process capability…etc. The multi-objective problems can be solved in this model with optimal solution! Optimal Sigma level decision making model can effectively help manager to decide whether to continue the six sigma project.
關鍵字(中) ★ 多目標規劃
★ 標準差水準
★ 製程選擇
★ 六標準差
★ 品質改善
關鍵字(英) ★ Quality improvement
★ Six Sigma
★ TFT LCD
★ Process Alternative
★ Optimal Sigma level
★ Multi-objectives Programming.
論文目次 List of Contents
List of Contents VI
List of Tables VIII
List of Figures IX
Notation XI
Chapter 1 Introduction - 1 -
1.1 Background and Motivation - 1 -
1.2 Problem definition - 4 -
1.3 Research Objectives - 8 -
1.4 Multi-Objectives of the model: - 9 -
1.5 Thesis Framework - 9 -
1.6 Research Limitation - 11 -
Chapter 2 Literature Review - 12 -
2.1 On the optimal selection of process alternatives - 12 -
2.2 Six Sigma Level - 13 -
2.3 Multi-criteria Decision Making - 16 -
2.4 Cost of Quality(COQ) - 23 -
Chapter 3 Model Development - 27 -
3.1 Problem Description - 27 -
3.2 Assumption and limitation - 28 -
3.3 Constraints explain - 28 -
3.4 Model Development - 29 -
Chapter 4 Case Study - 33 -
4.1 TFT LCD Manufacturing Process - 33 -
4.2 Rolled Throughput Yield - 34 -
Chapter 5 Summary and Further Research - 40 -
5.1 Results of typical LCD process RTY=A x C x M: - 40 -
5.2 Summary & Discussion - 46 -
5.3 Future Research - 48 -
Reference - 50 -
Appendix A: Monitor, Notebook PC Panel Price Trend - 53 -
Appendix B : Sigma Level Comparison - 54 -
Appendix C : Lingo Program - 56 -
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2. Chen, K.S.; Wang, C.H.; Chen, H.T., A MAIC approach to TFT-LCD panel quality improvement Microelectronics Reliability Volume: 46, Issue: 7, July, 2006, pp. 1189-1198
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5. M. Schneiderman, Optimum Quality Costs and Zero Defects: Are They Contradictory Concepts? Quality Progress, November 1986
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10. Kun-Lin Hsieh a,*, Yen-Sheng Lu b,1 Model construction and parameter effect for TFT-LCD process based on yield analysis by using ANNs and stepwise regression. Expert Systems With Applications Volume: 34, Issue: 1, January, 2008, pp. 717-724
11. Kalyanmoy Deb. Non-linear Goal Programming using Multi-Objective Genetic Algorithms. Technical Report CI-60/98, University of Dortmund, Germany, 1999.
12. Joly, M.; Pinto, J.M. Mixed-integer programming techniques for the scheduling of fuel oil and asphalt production Chemical Engineering Research and Design Volume: 81, Issue: 4, April, 2003, pp. 427-447
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指導教授 陳振明(Jen-Ming Chen) 審核日期 2009-5-12
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