Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal Experiments, Parameter and Tolerance DesignMcGraw Hill Professional, 1996 - 329 sayfa 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. |
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Bu kitapta Taguchi techniques for quality engineering terimiyle 94 sayfa eşleşmektedir
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94 sonuçtan 1-3 arası sonuçlar
İçindekiler
Conducting Tests | 4 |
The Design of Experiments Process | 23 |
Orthogonal Array Selection and Utilization | 43 |
Telif Hakkı | |
15 diğer bölüm gösterilmiyor
Diğer baskılar - Tümünü görüntüle
Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal ... Phillip J. Ross Metin Parçacığı görünümü - 1988 |
Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal ... Phillip J. Ross Metin Parçacığı görünümü - 1996 |
Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal ... Phillip J. Ross Metin Parçacığı görünümü - 1988 |
Sık kullanılan terimler ve kelime öbekleri
A₁ A₂ analysis approach assigned to column attribute data average B₁ B₂ C₁ calculated casting column effects components confidence interval confirmation experiment control factors cost D₂ data points degrees of freedom Design of Experiments determine Die-cast piston experiment DOE process error variance evaluated example F ratio F test factor levels factors and interactions factors and levels factors assigned four-level factor freedom associated Genichi Taguchi idle column indicate interaction columns L8 OA least 99 loss function method nested factors noise factors observations orthogonal array outer array parameter design percent contribution performance plot problem product or process quality characteristic reduce variation repetitions sample shown in Fig shown in Table situation Source SS standard deviation statistically sums of squares Taguchi temperature three-level factors tion tolerance design tors total variation treatment condition trial two-level factors two-level OA two-way ANOVA variable data variation due Water pump experiment