Quality and Reliability Methods - SAS

More documents

Recommendations

Info

418 Index launch 63 options 64–67 Control Charts c 89 Cusum 95–106 EWMA 83 Individual Measurement 76 Moving Average 81 Moving Range 76 np 86 p 86 R 71 S 71 Shewhart 69 u 88 UWMA 81 XBar 71 Control Panel 403 Correlation of Estimates 378 Cost, End-of-Service 264 Count 187 Count Analysis 183 Covariance of Estimates 378 covariate 371, 396 Cox’s method see Proportional Hazards Cramér-von Mises test 334 crossed term 151 Crow AMSAA model 329 Cum Percent Curve Color 184 Cumulative Events plot, Reliability Growth 327 cumulative frequency chart 179–192 custom loss function 398 Customize Tests option 65 Cusum Control Charts 95–106 D Defect per Unit 192 Defect Rate Contour 146 Devalt.jmp 380 DF 358 Discrimination Ratio 156, 169 Discrimination Ratio table 169 Distribution platform 403 DPU 192 dummy coding 396 E economics model 399 Effect Likelihood-Ratio Tests table 388 Effective Resolution 128 Effectiveness Report 176–177 EMP Gauge RR Results 128 EMP Results 128 Engine Valve Seat.jmp 264 Estimate Survival Probability 361, 379 Estimate Survival Probabillities 384 Estimate Time Quantile 361, 375, 379 Event Count in Reliability Growth 324 Event Plot 213 Event Plot 266 Event plot 265 event-time data 349, 351 EWMA Chart 83 Exponential 231 Exponential 376 exponential distribution 351 Exponential Fit 360 exponential loss function 394–398, 400–402 Exponential Parameters table 360 Exponential Plot 360 Extended Generalized Gamma (GenGamma) 231 extreme value loss function 400–402 Extreme Value Parameter Estimates table 360 F failure and time termination, Reliability Growth 325 Failure Cause role 212 failure data 349 Failure Plot 358 Failure Raw Data.jmp 182 Failure.jmp 181–182 Failure2.jmp 188 Failure3.jmp 190 Failures Size.jmp 194 Fan.jmp 400 Fit All Distributions 220, 242 Fit All Non-negative 220 Fit All SD Distributions 220 Fit Frechet 242 Fit LEV 242 Fit Logistic 242 Fit Loglogistic 241 Fit Lognormal 241 Fit Model platform 371, 387 Fit Normal 242 Fit Parametric Survival 371, 373, 376 Fit Proportional Hazards 371, 387
Index 419 Fit SEV 242 Fit Weibull 241 Fitted Distribution Plots 361 Fitted Failure CI 360 Fitted Quantile 360 Fitted Quantile CI Lines 360 Fitted Quantile CI Shaded 360 Fitted Survival CI 360 fitting personality 371 formula, nonlinear parametric survival 396 Fréchet 228 Fréchet with threshold 233 Freq role 181–182, 212, 352, 377, 387 frequency chart 179–192 frequency sort 179–192 G Gauge R&R analysis 151, 155, 163, 165 Attribute 169 Gauge RR 164 Gauge RR Plots 157 Gauge Std Dev 157 Gauge Studies 156 Get Limits 64 Get Targets 109 Go 396–397 Goal Plot Labels 146 Group Means of Std Dev 156 Grouping 264 Grouping role 153, 188, 190, 352 H hazard function 387 also see Proportional Hazards hazard ratio 387 I icdevice02.jmp 384 Import Spec Limits 143 Import Spec Limits() 144 Include Missing Categories 65 Individual Measurement Chart 76 Individual Points option 65 Interval Type 220 interval-censored data, definition 214 Interval-Censored model 384 Intraclass Correlation 130 Ishikawa diagram 197 Iteration History report 388 J JMP Starter 22 JMP tutorials 21 K Kaplan-Meier see Survival, Univariate key cell 191 L Label 185 Label Cum Percent Points 184 Label role 213 Label, System ID 264 Largest Extreme Value (LEV) 230 left-censor 399 left-censored data, definition 214 Levey-Jennings 32 Life Distribution statistical details 225 Lifetime Distribution Platform 207–234 Likelihood Ratio Tests 378 Limits Data Table 144 Limits options 65 Linearity Study 157, 168 Locomotive.jmp 402 Logistic 230 Loglogistic 228 loglogistic loss function 395 Loglogistic with threshold 234 LogNormal 376 Lognormal 226 lognormal distribution 351 Lognormal Fit 360 lognormal loss function 395–398, 402–403 Lognormal Plot 360 Lognormal with threshold 233 Log-Rank 358 Loss 397, 400–401 loss column 395 loss function 394, 400 lower specification limit 164 LSL 164 M Make Summary Table 149 Markers 185
Page 1 and 2:
Version 10 Quality and Reliability
Page 3:
INDIRECT OR CONSEQUENTIAL DAMAGES O
Page 6 and 7:
6 Nelson Rules . . . . . . . . . .
Page 8 and 9:
8 8 Assess Measurement Systems The
Page 10 and 11:
10 Other Menu Options . . . . . . .
Page 12 and 13:
12 Reliability Forecast Platform Op
Page 15 and 16:
Chapter 1 Learn about JMP Documenta
Page 17 and 18:
Chapter 1 Learn about JMP 17 Book C
Page 19 and 20:
Chapter 1 Learn about JMP 19 Book C
Page 21 and 22:
Chapter 1 Learn about JMP 21 Additi
Page 23 and 24:
Chapter 1 Learn about JMP 23 Additi
Page 25 and 26:
Chapter 2 Statistical Control Chart
Page 27 and 28:
Page 29 and 30:
Page 31 and 32:
Page 33 and 34:
Page 35 and 36:
Page 37 and 38:
Page 39 and 40:
Page 41 and 42:
Page 43 and 44:
Page 45 and 46:
Page 47 and 48:
Page 49 and 50:
Page 51 and 52:
Page 53 and 54:
Chapter 3 Introduction to Control C
Page 55 and 56:
Page 57 and 58:
Page 59 and 60:
Chapter 4 Interactive Control Chart
Page 61 and 62:
Page 63 and 64:
Page 65 and 66:
Page 67 and 68:
Page 69 and 70:
Chapter 5 Shewhart Control Charts V
Page 71 and 72:
Chapter 5 Shewhart Control Charts 7
Page 73 and 74:
Page 75 and 76:
Page 77 and 78:
Page 79 and 80:
Page 81 and 82:
Page 83 and 84:
Page 85 and 86:
Page 87 and 88:
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
Page 95 and 96:
Chapter 6 Cumulative Sum Control Ch
Page 97 and 98:
Page 99 and 100:
Page 101 and 102:
Page 103 and 104:
Page 105 and 106:
Page 107 and 108:
Chapter 7 Multivariate Control Char
Page 109 and 110:
Page 111 and 112:
Page 113 and 114:
Page 115 and 116:
Page 117 and 118:
Page 119 and 120:
Page 121 and 122:
Chapter 8 Assess Measurement System
Page 123 and 124:
Page 125 and 126:
Page 127 and 128:
Page 129 and 130:
Page 131 and 132:
Page 133 and 134:
Page 135 and 136:
Page 137 and 138:
Page 139 and 140:
Page 141 and 142:
Chapter 9 Capability Analyses The C
Page 143 and 144:
Chapter 9 Capability Analyses 143 L
Page 145 and 146:
Chapter 9 Capability Analyses 145 C
Page 147 and 148:
Page 149 and 150:
Page 151 and 152:
Chapter 10 Variability Charts Varia
Page 153 and 154:
Chapter 10 Variability Charts 153 V
Page 155 and 156:
Page 157 and 158:
Page 159 and 160:
Page 161 and 162:
Page 163 and 164:
Chapter 10 Variability Charts 163 R
Page 165 and 166:
Page 167 and 168:
Page 169 and 170:
Chapter 10 Variability Charts 169 D
Page 171 and 172:
Chapter 10 Variability Charts 171 A
Page 173 and 174:
Page 175 and 176:
Page 177 and 178:
Page 179 and 180:
Chapter 11 Pareto Plots The Pareto
Page 181 and 182:
Chapter 11 Pareto Plots 181 Pareto
Page 183 and 184:
Page 185 and 186:
Page 187 and 188:
Chapter 11 Pareto Plots 187 Launch
Page 189 and 190:
Chapter 11 Pareto Plots 189 One-Way
Page 191 and 192:
Chapter 11 Pareto Plots 191 Two-Way
Page 193 and 194:
Chapter 11 Pareto Plots 193 Defect
Page 195 and 196:
Chapter 11 Pareto Plots 195 Defect
Page 197 and 198:
Chapter 12 Ishikawa Diagrams The Di
Page 199 and 200:
Chapter 12 Ishikawa Diagrams 199 Pr
Page 201 and 202:
Chapter 12 Ishikawa Diagrams 201 Bu
Page 203 and 204:
Page 205 and 206:
Page 207 and 208:
Chapter 13 Lifetime Distribution Us
Page 209 and 210:
Chapter 13 Lifetime Distribution 20
Page 211 and 212:
Page 213 and 214:
Page 215 and 216:
Page 217 and 218:
Page 219 and 220:
Page 221 and 222:
Page 223 and 224:
Page 225 and 226:
Page 227 and 228:
Page 229 and 230:
Page 231 and 232:
Page 233 and 234:
Page 235 and 236:
Page 237 and 238:
Chapter 14 Lifetime Distribution II
Page 239 and 240:
Page 241 and 242:
Page 243 and 244:
Page 245 and 246:
Page 247 and 248:
Page 249 and 250:
Page 251 and 252:
Page 253 and 254:
Page 255 and 256:
Page 257 and 258:
Page 259 and 260:
Page 261 and 262:
Chapter 15 Recurrence Analysis The
Page 263 and 264:
Chapter 15 Recurrence Analysis 263
Page 265 and 266:
Page 267 and 268:
Page 269 and 270:
Page 271 and 272:
Page 273 and 274:
Page 275 and 276:
Page 277 and 278:
Chapter 16 Degradation Using the De
Page 279 and 280:
Chapter 16 Degradation 279 Overview
Page 281 and 282:
Chapter 16 Degradation 281 The Degr
Page 283 and 284:
Chapter 16 Degradation 283 Model Sp
Page 285 and 286:
Page 287 and 288:
Page 289 and 290:
Page 291 and 292:
Chapter 16 Degradation 291 Inverse
Page 293 and 294:
Chapter 16 Degradation 293 Platform
Page 295 and 296:
Chapter 16 Degradation 295 Platform
Page 297 and 298:
Chapter 16 Degradation 297 Model Re
Page 299 and 300:
Chapter 16 Degradation 299 Destruct
Page 301 and 302:
Chapter 16 Degradation 301 Stabilit
Page 303 and 304:
Chapter 17 Forecasting Product Reli
Page 305 and 306:
Page 307 and 308:
Page 309 and 310:
Page 311 and 312:
Page 313 and 314:
Page 315 and 316:
Page 317 and 318:
Chapter 18 Reliability Growth Using
Page 319 and 320:
Chapter 18 Reliability Growth 319 O
Page 321 and 322:
Chapter 18 Reliability Growth 321 E
Page 323 and 324:
Page 325 and 326:
Page 327 and 328:
Chapter 18 Reliability Growth 327 T
Page 329 and 330:
Chapter 18 Reliability Growth 329 F
Page 331 and 332:
Page 333 and 334:
Page 335 and 336:
Page 337 and 338:
Page 339 and 340:
Page 341 and 342:
Page 343 and 344:
Chapter 18 Reliability Growth 343 A
Page 345 and 346:
Chapter 18 Reliability Growth 345 A
Page 347 and 348:
Chapter 18 Reliability Growth 347 S
Page 349 and 350:
Chapter 19 Reliability and Survival
Page 351 and 352:
Page 353 and 354:
Page 355 and 356:
Page 357 and 358:
Page 359 and 360:
Page 361 and 362:
Page 363 and 364:
Page 365 and 366:
Page 367 and 368: Chapter 19 Reliability and Survival
Page 405 and 406: References Abernethy, Robert B. (19
Page 407 and 408: References 407 Carroll, R.J., Ruppe
Page 409 and 410: References 409 Haaland, P.D. (1989)
Page 411 and 412: References 411 Lawless, J.F. (1982)
Page 413 and 414: References 413 Nelson, W.B. (2003),
Page 415 and 416: References 415 Snee, R.D. and Marqu
Page 417: Index JMP Quality and Reliability M
Page 421 and 422: Index 421 Q Quantiles table 356 R R
Page 423 and 424: Index 423 Weibull Plot 360 Westgard
show all

Quality and Reliability Methods - SAS

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?