Quality and Reliability Methods - SAS

More documents

Recommendations

Info

150 Capability Analyses Chapter 9 Capability Plots and Options Capability Indices Report This option shows or hides a table showing each variable’s LSL, USL, target, mean, standard deviation, Cp, CPK, and PPM. Optional columns for this report are Lower CI, Upper CI, CPM, CPL, CPU, Ppm Below LSL, and Ppm Above USL. To reveal these optional columns, right-click on the report and select the column names from the Columns submenu. Figure 9.10 Capability Indices
Chapter 10 Variability Charts Variability Chart and Gauge R&R Analysis A variability chart plots the mean for each level of a second factor, with all plots side by side. Along with the data, you can view the mean, range, and standard deviation of the data in each category, seeing how they change across the categories. The analysis options assume that the primary interest is how the mean and variance change across the categories. • A traditional name for this chart is a multivar chart, but because that name is not well known, we use the more generic term variability chart. • A variability chart shows data side-by-side like the Oneway platform, but it has been generalized to handle more than one grouping column. • Variability charts are commonly used for measurement systems analysis such as gauge R&R. This analysis analyzes how much of the variability is due to operator variation (reproducibility) and measurement variation (repeatability). Gauge R&R is available for many combinations of crossed and nested models, regardless of whether the model is balanced. • Just as a control chart shows variation across time in a process, a variability chart shows the same type of variation across categories such as parts, operators, repetitions, and instruments. • The Variability Chart platform can compute variance components. Several models of crossed and nested factors of purely random models are available. • Attribute (multi-level) data can also be analyzed with this platform. Figure 10.1 Example of a Variability Chart
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:
Chapter 6 Cumulative Sum Control Ch
Page 99 and 100: Chapter 6 Cumulative Sum Control Ch
Page 107 and 108: Chapter 7 Multivariate Control Char
Page 121 and 122: Chapter 8 Assess Measurement System
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: Chapter 9 Capability Analyses 147 C
Page 149: Chapter 9 Capability Analyses 149 C
Page 153 and 154: Chapter 10 Variability Charts 153 V
Page 163 and 164: Chapter 10 Variability Charts 163 R
Page 169 and 170: Chapter 10 Variability Charts 169 D
Page 171 and 172: Chapter 10 Variability Charts 171 A
Page 179 and 180: Chapter 11 Pareto Plots The Pareto
Page 181 and 182: Chapter 11 Pareto Plots 181 Pareto
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:
Page 369 and 370:
Page 371 and 372:
Page 373 and 374:
Page 375 and 376:
Page 377 and 378:
Page 379 and 380:
Page 381 and 382:
Page 383 and 384:
Page 385 and 386:
Page 387 and 388:
Page 389 and 390:
Page 391 and 392:
Page 393 and 394:
Page 395 and 396:
Page 397 and 398:
Page 399 and 400:
Page 401 and 402:
Page 403 and 404:
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 and 418:
Index JMP Quality and Reliability M
Page 419 and 420:
Index 419 Fit SEV 242 Fit Weibull 2
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?