Page 422 - Six Sigma Advanced Tools for Black Belts and Master Black Belts

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Index

1.5 sigma shift, 25, 349, 365 B
k
2 factorial design, 15, 239--240, 242, balanced:
245--246, 299 assessment of Taguchi methods,
292
A design, 261
acceptance sampling, 269 view, 27
adaptive designs, 264 baseline:
affinity diagram, 47 defect rate, 32
akaike information criterion, 191 measurement, 10, 11, 16
alternative hypothesis, 154, 175, performance, 131
184, 385 batch means control chart, 354
analysis of variance (ANOVA), 14, 47, 50, bell-shaped curve, 212, 216
53, 57, 82--83, 242 benchmark, 225
Anderson Darling tests, 134, 162 benchmarking, 47
algorithmic cusum, 372 bernoulli distribution, 182, 183
average run length, 326, 330, 344, best-fit distribution, 136, 138--141, 143,
363, 372, 379 145--149
array, bias:
inner and outer, 239, 251, 276, 288, 290 due to scaling, 179
orthogonal, 251, 258, 260--261, 265, of measuring Cp(u, v), 128
276--277, 280, 283, 285 bias-corrected percentile bootstrap (BCPS),
Taguchi, 285 197, 208
assignable cause, 75--76, 372 biased estimator:
attributes: population variance, 77
in Six Sigma implementation, 25 binomial distribution, 179--180, 182, 214
attribute data, 211 blocking:
attribute Shewhart charts, 325 in DOE, 53, 239, 251
autocorrelation, 243, 343--348, 351--354, blocks:
365--366, 382, 391, 394--395 replicated runs, 253--255
autocovariance, 345, 391, 392, 394, 401 bottleneck, 93
autogressive moving average model, 382 box plot, 107, 116, 119--128
autoregressive integrated moving average, box-and-whisker, 114
366 Box-Cox:
availability, data, 55, 258 transformation, 119, 120--122, 125--126,
average run length, 326, 330, 344, 363, 372, 136, 144
379 plot, 136, 143, 149

Six Sigma: Advance Tools for Black Belts and Master Black Belts L. C. Tang, T. N. Goh, H. S. Yam and T. Yoap
C 2006 John Wiley & Sons, Ltd
407