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A HEURISTIC METHOD FOR PLANNING TWO-LEVEL FRACTIONAL FACTORIAL EXPERIMENTS USING BASIC QUATERNARY DESIGN TABLE

啟發式四分位設計表於兩水準部分實驗設計之應用

摘要


Graphical aids are most useful for planning two-level fractional factorial experiments that allow un-confounded estimation of all main effects and some specified interactions in a requirements set under the assumption that all un-specified interactions are negligible. Some graphical aids such as Taguchi's linear graphs, interaction graphs, and a graph-aided method have been published, and they are easy to use and visually appealing. However, any graph-aided method becomes impractical due to a large number of graphs and visual complexity when the run size is large. In our earlier work, the geometrical design was chosen as a standard design matrix for a two-level fractional factorial design. Then, based on the quaternary number representation system for column numbers of a geometrical design, the basic quaternary design table (BQDT) was proposed for planning two-level fractional factorial experiments. In this article, by applying the BQDT, a heuristic method is proposed to solve the above estimation problem for planning two-level fractional factorial experiments. The arc welding example with 9 two-level factors and 16 runs is illustrated to compare three methods of linear graph, interaction graph, and our heuristic BQDT method, and the result shows that our method has minimum aberration. Two defect examples of Greenfield's algorithm are also improved by our method. The most important advantages of the proposed heuristic BQDT method are ease to use, visually appealing, and possible for large scale problem extension.

並列摘要


當未指定的交互作用是可忽略時,輔助圖是估計兩水準部份實驗中未交絡的主效果與二階交互作用的有效工具。文獻中的田口點線圖、交互作用圖與輔助圖法均有視覺與易用的特性,然而當實驗規模較大時這些輔助圖則有實用上的缺陷。先前我們依據幾何設計而發展出的四分位設計表以利規劃兩水準實驗設計,本文將進一步發展出啟發式四分位設計表來解決上述估計未交絡的主效果與二階交互作用的問題。電弧焊範例中含有9個兩水準因子與16個實驗次數,運用此例比較三種方法田口點線圖、交互作用圖與本文的啟發式法,結果發現啟發式得到變異最小化的最佳設計。另外,Greenfield演算法中的兩個缺失也可透過啟發式法輕易解決。綜上,啟發式四分位表具有視覺性與易用性,且適用於大規模的兩水準實驗設計。

參考文獻


Box, G. E. P.,Wilson, K. B.(1951).On the experimental attainment of optimum conditions.Journal of the Royal Statistical Society. Series B (Statistical Methodological).13(1),1-45.
Chen, J.,Sun, D. X.,Wu, C. F. J.(1993).A catalogue of two-level and three-level fractional factorial designs with small runs.International Statistical Review.61(1),131-145.
Day, J.-D.,Tsai, H.-T.(2013).Basic quaternary design table using geometrical design.Proceeding of 2013 International Conference on Technology Innovation and Industrial Management.(Proceeding of 2013 International Conference on Technology Innovation and Industrial Management).:
Day, J.-D.,Tsai, H.-T.(2013).Comparison of useful characteristics among various two-level design matrices.Proceeding of the 16th QMOD Conference on Quality and Service Sciences ICQSS 2013.(Proceeding of the 16th QMOD Conference on Quality and Service Sciences ICQSS 2013).:
Day, J.-D.,Tsai, H.-T.(2013).Joint quaternary design tables for geometrical designs.Proceedings of the 19th ISSAT International Conference on Reliability and Quality in Design.(Proceedings of the 19th ISSAT International Conference on Reliability and Quality in Design).:

被引用紀錄


Jen-der Day、Hsin-Lu Liu、Tsai-Hsin Cheng、Yu-Lin Han、Hsien-Tang Tsai(2023)。Binary Column Assignment Method for Two-Level Minimum Aberration Fractional Factorial Designs品質學報30(2),67-88。https://doi.org/10.6220/joq.202304_30(2).0001
Jen-der Day、Hsin-Lu Liu、Yu-Lin Han、Tsai-Hsin Cheng、Hsien-Tang Tsai(2023)。Closed-Form Formulae of Wordlength Pattern for Saturated Resolution IV and III Designs and Their Relationships品質學報30(1),13-25。https://doi.org/10.6220/joq.202302_30(1).0002

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