Page 426 - Six Sigma Advanced Tools for Black Belts and Master Black Belts

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JWBK119-IND
Index 411
M parametric, 134, 138, 154, 163
main effect of a factor, 241 Pareto analysis, 264, 302
maintainability, 43 Pareto chart, 13, 47
maintenance, 7, 27, 28, 43, 51, 55, 356 Pearson correlation, 139
mapping, 53, 57, 85, 90--91 Pearson chi-square tests, 155
Markov, 60, 379 Pollaczek-Khintchine, 65
master black belt, 7--9, 21, 27, 32--34, 51 population:
maturity, 291 population mean, 77--78, 156, 161--162
mean squares, 83 population variance, 76--77, 253
meanshift, 384 positive correlation, 44
metaheuristics, 54 P pk , 140, 144--145
monte carlo simulation, 34, 45, 47, 53, 57, 79, predictive, 45, 188, 191--192
128, 132, 145, 147, 160--161, 347, 358, 365, predictor, 187, 189, 192, 243
379, 388 probability plot, 109, 113, 119--128, 138--139,
multiple regression, 47, 189 143--144, 163--166, 228--229
multiplier, 308, 309 process capability, 5, 46, 73, 79, 107--114, 116,
multiresponse, 309 120, 122--136, 138, 140--149, 195--198, 206,
multivariate, 155, 345, 354--355 269--270, 278
multivariate ewma control chart, 354 process capability index (PCI), 107--115,
127--129
N process capability analysis (PCA), 129--133,
near-zero-defect, 212 142, 148--149
negative binomial distribution, 214 process characterization, 28, 79
negative correlation, 178 process design, 7, 273, 288, 297
nested design, 73, 79--82, 244--245 process improvement, 8, 32--33, 37, 328,
Newton-Raphson, 138 337--338
noise factors, 13, 239, 245, 251--252, 254 process mapping, 53, 57
nominal value, 275, 279 process-focused, 49, 52
nonnormal data: process-improvement, 8, 51
nonnormality, 107--116, 120--129, 219, 221 process-monitoring, 211, 213
nonparametric approach, 134, 154, 163, 195, producibility, 28, 75, 226
197, 207, 216 proportion defective, 270
normal distribution, 77, 112--118, 127--136,
153--157, 161--169, 184, 186, 211--219, 228 Q
normal probability plots, 165 q-charts, 221
normality test, 133--135, 141--148, 219 Quality function deployment (QFD), 21, 34,
normalized, 44 42--48, 50--53, 57, 91
null hypothesis, 134--155, 155--157, 160--161, q-transformation, 212, 217, 219
165, 167, 169, 173--178, 184--188, 357--358 quality and productivity, 269
quality characteristics, 32, 76, 211, 212, 214,
O 216, 221
optimal, 14--15, 23, 44, 54, 111, 128, 197, 251, quality engineering, 19, 28, 58, 129, 280,
270, 278, 289--290, 307, 310, 318, 379, 401, 287--289, 297, 306, 343--344
404 quality improvement, 52
optimality, 23, 289--290, 310 quantile, 164, 165
optimization, 24, 28, 44, 48, 50--54, 57, 93--94,
138, 153, 203, 240, 257, 272--274, 278, 284, R
287, 289--290, 307--318 random:
ordinal information, 172, 175, 177--178 sampling, 79
orthogonal array, 258, 260--261, 264, 276--277, variable, 45, 77--78, 115, 165, 171, 179, 182,
280, 283--285, 288 186, 326--327, 347, 355, 359, 366, 381
outlier, 58--59, 116, 163, 354--358, 362--363, 366 randomization, 241, 245, 290
range, 8, 10, 26, 49, 51, 62, 81, 95--98, 100--101,
P 107, 111--112, 128--129, 154--155, 175, 195,
p chart, 212, 270, 325 197--198, 203, 205, 234
parameter estimation, 137, 185, 326, 330 rank, 9, 13, 112, 164--166, 197, 208, 281, 283