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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/24407

Title: A New Approach with Orthogonal Array for Global Optimization in Design of Experiments
Authors: Hsin-Chuan Kuo;Jeun-Len Wu
Contributors: NTOU:Department of Systems Engineering and Naval Architecture
Keywords: Design of experiments;Orthogonal array;Factorial;Taguchi approach
Date: 2009-08-01
Issue Date: 2011-10-20T08:12:13Z
Publisher: Journal of Global Optimization
Abstract: Abstract:In this paper, we develop an approach that determines the overall best parameter setting in design of experiments. The approach starts with successive orthogonal array experiments and ends with a full factorial experiment. The setup for the next orthogonal-array experiment is obtained from the previous one by either fixing a factor at a given level or by reducing the number of levels considered for all currently non-fixed factors. We illustrate this method using an industrial problem with seven parameters, each with three levels. In previous work, the full factorial of =2,187 points was evaluated and the best point was found. With the new method, we found the same point using 3% of these evaluations. As a further comparison, we obtained the optimum using a traditional Taguchi approach, and found it corresponded to the of the 2,187 possibilities when sorted by the objective function. We conclude the proposed approach would provide an accurate, fast, and economic tool for optimization using design of experiments.
Relation: 44(4), pp.563-578
URI: http://ntour.ntou.edu.tw/handle/987654321/24407
Appears in Collections:[系統工程暨造船學系] 期刊論文

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