Page 424 - Six Sigma Advanced Tools for Black Belts and Master Black Belts
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 JWBK119-IND
                                         Index                               409
      C pu , 108                            dpo, 112--113, 198
      C s (Wright’s process capability index), 113  DRSALG algorithm, 310
      Cramer von Mises tests, 161           DR2 algorithm, 310
      cross-classifies:
        contingency table, 176, 177         E
      cross-functional:                     error:
        projects, 8                           type I, 162, 326--327, 373
        teams, 42                             type II, 373
      Current Reality Tree (CRT), 93--95    estimator, 73, 77--79, 108, 110--111, 156, 174,
      CTQ, 5, 21, 25, 27--28, 32--33, 42, 45, 50  327--330, 334, 338--339
      cumulant, 167, 169                    evolutionary operation (EVOP), 271, 277,
      cumulative distribution function (CDF):   289, 290
        lognormal and Weibull, 114          empirical distribution function (EDF): see
        standard normal, 134                    goodness-of-fit tests, Empirical
      curvature, 86, 240, 290                   Distribution Function based approach
      customer requirements, 24, 48         EWMA:
      customer satisfaction, 38780, 21--22, 24, 27,  charts, see charts, EWMA
          31--33, 36, 44, 50--51, 73, 94, 172, 272  control schemes, 212, 221
      customer-centered, 49                   MCEWMA, 354
      CUSUM:                                  multivariate control charts, 354
        backward cusum (BCUSUM), 382, 404   exponential distribution, 45, 137, 139
        charts, 353--366, 371--379
        charts on residuals, 364--366       F
        CUSUM chart, 212, 213, 219, 364     face-centered design (FCD), 319
        CUSUMR, 379, 395--397, 401          factorial design, 15, 239--242, 244--250, 257,
        FIR CUSUM, 374--379                     264, 276, 290, 299
        multivariate scheme, 354            failure mode and effect analysis (FMEA), 42,
        S-CUSUM, 390                            45, 47, 50, 53, 94, 101--104
        tabular CUSUM, 371--379             fishbone diagram, 12, 85--91, 103
        V-mask CUSUM, 371--379              fisher’s cumulant tests, 167--169
        zero-start CUSUM, 374               fisher’s methodology:
                                              design of experiments, 271
      D                                     flip-chart, 88
      data transformation, 211, 212, 214, 216  flowchart, 96, 226
      data-driven, 17, 33, 38, 104, 153     fold-over designs, 298, 302--303
      defect, 4, 5, 10, 21--25, 27, 32, 50--51, 55--56,  fractional factorials, 47, 259, 284, 288, 298
          73--74, 131, 196, 206, 212, 221, 270--272  framework, 19--23, 31--38, 41--42, 48--50, 54,
      defective, 24, 74, 196, 221, 270--271     56, 58, 154, 225, 274, 311, 326
      defects per million opportunities, 4, 22, 131  future reality tree (FRT), 93--94,
      deployment, 3, 7, 8, 10, 21--23, 33--34, 41--42,  96--100, 102
          48, 50--52, 54--55, 57, 61--63, 91, 94, 292  fuzzy approach for dual response, 309
      design of experiments, 21, 34, 50, 57, 101, 155,
          239, 242, 244, 250, 252, 254, 257--258, 261,  G
          268, 271--273, 275--276, 280, 283, 288,  gage r&r, 47
          297--298                          gamma:
      design resolution, 250                  function, 78, 196
      design-oriented, 48                     distributions, 112
      destructive tests, 264, 303           Gantt charts, 43, 47
      deterministic service times, 66       Gaussian:
      deviance statistics, 186                in DOE, 246, 259, 261--262
      distribution-free, 108, 109, 113, 127, 154  process, 345, 351
      DMADOV, 48                            generators:
      DMADV, 41                               stationary time series, 343
      DMAIC, 3--7, 20--23, 26, 31--32, 34, 36, 38, 41,  genetic algorithms, 13
          44, 47, 49, 56, 58, 74--75, 86, 101, 131  geometric distribution, 211--216, 219,
      dpmo, 22, 24, 131--132                    221, 326
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