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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The use of orthogonal arrays, linear graphs, and triangular tables in the design of experiments is explained using an example.
📌 3 Key Takeaways
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Objective & Hypothesis:It is known that many experimenters use the techniques of orthogonal arrays, linear graphs and triangular tables developed by Taguchi, in the design of $2^k$ factorials and fractional factorial experiments.
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Key Findings & Data:In this paper a connection between the linear graph method and graph theory is investigated.
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Conclusion & Impact:The use of orthogonal arrays, linear graphs, and triangular tables in the design of experiments is explained using an example.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Taguchi techniques · Graph theory · Linear graphs
Abstract
It is known that many experimenters use the techniques of orthogonal arrays, linear graphs and triangular tables developed by Taguchi, in the design of $2^k$ factorials and fractional factorial experiments. In this paper a connection between the linear graph method and graph theory is investigated. The use of orthogonal arrays, linear graphs, and triangular tables in the design of experiments is explained using an example.
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Cite This Article
Danacıoğlu, N., Muluk, F. Z. (2005). TAGUCHI TECHNIQUES FOR $2^k$ FRACTIONAL FACTORIAL EXPERIMENTS. Hacettepe Journal of Mathematics and Statistics, Volume: 34 Issue: 1. https://ajindex.com/articles/1403829