Titlebook: Experimental Quality; A strategic approach Jiju Antony,Mike Kaye Book 2000 Springer Science+Business Media New York 2000 Excel.Manufacturin

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Mamoon Allan,Małgorzata Ludwikowska-Kędziai methods (TMs) often starts with a brief statement of the problem. Having defined the problem, the next step is to perform brainstorming along with cause and effect analysis (CEA) to investigate the causes of the problem and identify the factors that influence the problem. A difficulty of this appr

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Schnitte von Geraden und Ebenen,of these improvement actions for product and process quality improvement. This chapter has been written with the aim of assisting industrial engineers and managers with limited knowledge of mathematics and statistics in analysing and interpreting the data from Taguchi’s orthogonal array experiments

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https://doi.org/10.1007/978-3-322-92886-3lore the effects of varying one or more factors at a time. The case studies will also assist both industrial engineers and business managers with limited skills in statistics to conduct industrial experiments in their own organization in order to solve process quality problems. Moreover, this chapte

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