Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal Experiments, Parameter and Tolerance DesignMcGraw Hill Professional, 1996 - 329 halaman An introduction to the Taguchi methodology as a systematic strategy for designing product and process tests that will reduce product or process variation. This text aims to make this method understandable to all professionals in quality control and non-statisticians. |
Isi
The Economics of Reducing Variation | 1 |
The Design of Experiments Process | 23 |
Orthogonal Array Selection and Utilization | 43 |
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Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal ... Phillip J. Ross Tampilan cuplikan - 1996 |
Istilah dan frasa umum
A₁ A₂ analysis ANOVA Summary attribute data average B₁ calculated casting column effects components confidence interval confirmation experiment control factors cost data points degrees of freedom Design of Experiments designed experiment Die-cast piston experiment DOE process engine error variance estimate evaluated example experimental F ratio factor levels factors and interactions factors and levels factors assigned four-level factor freedom associated Genichi Taguchi idle column indicate interac interaction columns L8 OA least 99 loss function measurement system method nested factors noise factors nominal observations orthogonal array outer array performance product or process quality characteristic Quality Control reduce variation repetitions S/N ratio sample shown in Fig shown in Table situation Source SS specification limits standard deviation statistically sums of squares Taguchi Taguchi methods temperature three-level factors tion tolerance design tors total variation treatment condition trial two-level factors two-way ANOVA variation due Water pump experiment