Towards a new method for the design of robust systems using computer simulation experiments /
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| Other Authors: | , |
| Format: | Thesis Book |
| Language: | English |
| Published: |
1991.
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| Subjects: | |
| Online Access: | ProQuest, Abstract Link to OAKTrust copy |
| Abstract: | The primary goal of this research is to develop and demonstrate a new method for the design of robust systems using computer simulation experiments. The work is motivated by the concepts and methods introduced by Taguchi, and used with considerable success for the design of robust products using physical experiments. The research starts by studying the Taguchi approach to product design: The focus here is on the main concepts and strategies which distinguish this technique, in addition to the research done on the main limitations of the Taguchi methods. An attempt is then made to assess the appropriateness of the Taguchi paradigm for system design by simulation. At this stage, well established statistical methods such as Regression Analysis and ANOVA, and well known optimization techniques such as RSM and Multiple Criteria Optimization Methods - are researched and documented. Finally, a new method of robust system design is developed: This method not only uses the concepts and the strategies of the Taguchi approach - but also constructs a Multiple Criteria Optimization Approach to formulate the problem, and uses a modified RSM procedure to solve it. The utility of the proposed method is established by comparing its performance with RSM, and by demonstrating its working on examples from three different application areas. Currently, there exist no quantitative methods to design robust (discrete) systems, using computer simulation as the experimental tool. Consequently, this research is likely to enhance the state-of-the-knowledge in simulation based system design methodologies. Moreover, the research has the potential to have a significant impact on the way in which designers design their systems in future. |
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| Item Description: | Typescript (photocopy). Vita. "Major subject: Industrial Engineering." |
| Physical Description: | x, 124 leaves : illustrations ; 29 cm |
| Bibliography: | Includes bibliographical references. |