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整合模糊田口、TOPSIS與灰關聯分析於多重品質特性之參數最佳化 = O...

國立高雄大學亞太工商管理學系碩士班

整合模糊田口、TOPSIS與灰關聯分析於多重品質特性之參數最佳化 = Optimizing the Parameters of Multi-Objective Quality Characterization by Integrating Fuzzy Taguchi、TOPSIS and Gray Relation Analysis

紀錄類型:	書目-語言資料,印刷品 : 單行本
並列題名:	Optimizing the Parameters of Multi-Objective Quality Characterization by Integrating Fuzzy Taguchi、TOPSIS and Gray Relation Analysis
作者:	蔡宗倫,
其他團體作者:	國立高雄大學
出版地:	[高雄市]
出版者:	撰者;
出版年:	2009[民98]
面頁冊數:	96面圖、表 : 30公分;
標題:	多重品質
標題:	Fuzzy Theory
電子資源:	http://handle.ncl.edu.tw/11296/ndltd/09512041982674992087
附註:	指導教授：盧昆宏
附註:	參考書目：面
摘要註:	近年來隨著科技的進步發展，品質的議題也越來越被重視，傳統上，大部分品質改善問題通常都以工程師的經驗判斷為主，容易造成標準不一的模糊性，且實務上的產品往往具有多個品質特性，在多個品質特性之間均有可能互相關聯影響，因此發展一套解決多重品質特性問題之方法是現今企業相當重要的議題。有鑑於此，本研究擬先運用田口方法有計劃的進行實驗，以最低成本和最少實驗次數下有效率的對產品設計與品質提供穩健性。但因田口方法僅止於單一品質特性的最佳化，故本研究欲再結合模糊理論、理想解類似度順序偏好法(TOPSIS)、灰關聯分析(GRA)來整合多重品質特性的問題；先利用模糊理論處理經由田口實驗後所得之S/N比值，以便於比較單位標準不同的品質特性，接著結合TOPSIS與GRA建構「模糊理想解」與「模糊灰關聯」兩套演算法則，分別運算處理得到顯著影響參數與關聯度進行最佳參數組合的排序，透過所得之起始最佳參數解與整體最佳參數解比較分析，如此，可取得客觀的綜合性判斷，也可了解到數據資料多寡對兩套法則可靠性的影響。最後，本研究將利用顯示器製程案例來驗證演算法則的有效性與可靠性，進一步幫助公司在產品設計初期就可兼顧品質管制，同時也可節省時間和成本。　With advances in technology development recent year, quality has become a more and more important subject. Traditionally, most problem of quality improvement that only can depend on the engineer's experience, it's easy to have the different stander and the fuzziness. Besides, the product or the process frequently has many quality characteristics, and these quality characteristics may have interaction, so, developing a model to solve the problem of multi-objective quality characterization is the quite important subject for an enterprise. In view of that, this research uses Taguchi method to experiment first, provide stability for product design and quality through the lowest cost and minimum experiment. But Taguchi method mainly aims at the optimizing of the single quality characteristics, so, this research would integrate Fuzzy Theory、Technique for Order Preference by Similarity to Ideal Solution(TOPIS)、Grey Relational Analysis(GRA) for multi-objective quality characterization problems. Using Fuzzy Theory to deal with the S/N ration form Taguchi, it can easy to compare with all different units of quality characterization, and then integrate TOPSI and GRA to establish two model with that “Fuzzy TOPSIS”and “Fuzzy GRA”, Getting the significant parameters and correlation indicators to find the bet parameter combination through the two models, therefore, it could get the more objective judgment and understand which model should be selected in different environment by analysis the different initial best parameter combination and overall best parameter combination. Finally, this research would use the case-LCD manufacturing process to demonstrate the effectiveness and the usability of the models, and helps the company to do quality control at the first, also can save time and cost.

整合模糊田口、TOPSIS與灰關聯分析於多重品質特性之參數最佳化 = Optimizing the Parameters of Multi-Objective Quality Characterization by Integrating Fuzzy Taguchi、TOPSIS and Gray Relation Analysis
蔡, 宗倫

整合模糊田口、TOPSIS與灰關聯分析於多重品質特性之參數最佳化 = Optimizing the Parameters of Multi-Objective Quality Characterization by Integrating Fuzzy Taguchi、TOPSIS and Gray Relation Analysis / 蔡宗倫撰 - [高雄市] : 撰者, 2009[民98]. - 96面 ; 圖、表 ; 30公分.
指導教授：盧昆宏參考書目：面.
多重品質Fuzzy Theory

整合模糊田口、TOPSIS與灰關聯分析於多重品質特性之參數最佳化 = Optimizing the Parameters of Multi-Objective Quality Characterization by Integrating Fuzzy Taguchi、TOPSIS and Gray Relation Analysis
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