Quality Improvement of Multi-response Processes Using VIKOR and Factor Analysis
| Autor: | Chih-Chien Chen, 陳志堅 |
|---|---|
| Rok vydání: | 2006 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 94 Multiple quality characteristics should be simultaneously considered to enhance the product quality and reduce the cost as the modern products or process designs become complex increasingly. Therefore, engineers optimize the multi-response processes using Design of Experiment (DOE) or Taguchi method in the design stage and monitor the processes using multivariate control charts to assure the multivariate processes are in control. Although several procedures for optimizing multi-response processes have been developed in recent years, the associated quality measurement indices do not consider variations in the relative quality losses of multiple responses. These procedures may therefore result in an optimization in which quality losses associated with a few responses are very small but those associated with others are very large, even if the overall average quality loss is small. As for the multivariate control technique, Hotelling T2 control chart is a popular multivariate control chart in industry. However, the calculation loading of T2 index is large when monitoring variables are larger. Besides, T2 index cannot be calculated if variables number is larger than cases number. It is also hard to detect the out of control situation of process in utilizing the Hotelling T2 control chart when the relationships among process parameters are complex. In this study, we will apply the VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian, means Multicriteria Optimization and Compromise Solution (VIKOR) method and factor analysis to solve the above problem. Finally three real cases and one simulation case study are utilized to verify the effectiveness of the proposed procedure. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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