臺灣博碩士論文加值系統

過去已有不少研究試圖建構生產流程選擇之數學模型以求解最佳的品質改進水準，然而，這些著重於生產成品與品質水準的數學模型多假設市場需求為外生變數，不受產品價格或產品品質優劣的影響。為了更適切地解決財務與品質兩面向的共同決策問題，本研究提出一個適用於多階段生產流程的參數設定的最佳化模型，此模型可在市場需求受產品單位價格與產品品質影響下，求解最佳獲利情況下之流程或者參數設定。

本研究將線性需求函數套用於非線性規畫模型中，分析紡織產業製紗流程之實際案例並詳細討論其管理意涵。本研究發現整合需求函數於參數選擇模型並將價格視為決策變數時可求得更適切之品質參數，且此延申模型可以依據品質及價格對需求的敏感性，而適度地調高或降低品質參數。本研究結果可提供廠商規畫生產系統時之參考。

Many studies have been conducted to build integrated models of process selection to achieve optimal level of quality improvement. However, most of the production-quality models in those studies assume that the demand is exogeneous and is not affected by either the price or the quality of the product. For resolving the problem of the joint decision on finance and quality, this study proposed an optimization model on parameter selection in a multi-stage manufacturing process for profit maximization when the demand of the product in the market depends on both the unit sale price and the product quality.
A linear market demand function and a nonlinear programming model have been formulated to solve the decision problem, and a real-world case related to yarn production in textile industry has been thoroughly analyzed and discussed. The integration of the demand function onto the parameter selection model has improved the existing model by making better decisions in parameter selection. In particular, the parameter settings of the extended model will be tightened or relaxed depending on whether the demand is sensitive to the product price and product quality. The results of this research could be useful to companies that are interested in planning their manufacturing systems to achieve optimal quality level and at the same time generate remarkable financial return.

ABSTRACT i
CONTENT ii
LIST OF FIGURES iv
LIST OF TABLES v
CHAPTER 1. INTRODUCTION 1
1.1 Research Motivation 1
1.2 Research Objectives 3
CHAPTER 2. LITERATURE REVIEW 5
2.1 Product Values 5
2.2 Production Cost Categories 6
2.3 Quality Improvement 7
2.4 Tolerance as Quality Level 8
2.5 Quality Improvement through Process Selection 9
2.6 Price and Quality Dependent Demand 10
2.7 Research Position 11
CHAPTER 3. PARAMETER SELECTION MODEL WHEN PRICE IS EXOGENEOUS 13
3.1. Model Development 13
3.2. System Description 14
3.3. Model Formulation 15
3.3.1. Matemathical Model 17
3.3.2. Model Constraints 22
CHAPTER 4. PARAMETER SELECTION MODEL WHEN PRICE IS ENDOGENEOUS 24
4.1. Demand Function 24
4.2. Integration of Demand Function to Process Selection Model 25
4.2.1. Mathematical Formulation 26
4.2.2. Model Constraints 27
CHAPTER 5. MODEL APPLICATION AND ANALYSIS 29
5.1 Model Application 29
5.2 Model Analysis 31
5.2.1 Base Model Analysis 32
5.2.2 Extended Model Analysis 34
5.2.3 Comparison Analysis of Both Models 36
5.2.4 Sensitivity Analysis of Extended Model 38
CHAPTER 6. CONCLUSIONS AND RECOMENDATION 41
6.1 Conclusions 41
6.2 Research Limitation and Recommendations 41
REFERENCES 43
APPENDIX A: Coding of Lingo 11.0 for base model 46
APPENDIX B: Linear Regression of deman function 49
APPENDIX C: Coding of Lingo 11.0 for extended model 51
APPENDIX D: Impact of quality improvement budget (B) and maximum accumulative tolerance (td) 55

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