دانلود کتاب Six Sigma: Advanced Tools for Black Belts and Master Black Belts

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Six Sigma......Page 4
Contents......Page 8
Preface......Page 14
PART A: SIX SIGMA: PAST, PRESENT AND FUTURE......Page 16
1.1 Introduction......Page 18
1.2 Six Sigma Roadmap: DMAIC......Page 19
1.3 Six Sigma Organization......Page 22
1.4 Six Sigma Training......Page 23
1.5 Six Sigma Projects......Page 25
References......Page 32
2.1 Introduction......Page 34
2.2 Six Sigma Framework......Page 35
2.3 Six Sigma Features......Page 36
2.4 Six Sigma: Contrasts and Potential......Page 37
2.5 Six Sigma: Inherent Limitations......Page 38
2.6 Six Sigma in the Knowledge Economy......Page 40
2.7 Six Sigma: Improving the Paradigm......Page 42
References......Page 43
3.1 Introduction......Page 46
3.3 SWOT Analysis of Six Sigma......Page 47
3.4 Further Thoughts......Page 52
References......Page 54
4.1 Introduction......Page 56
4.2 The IDOV Roadmap......Page 57
References......Page 63
5.1 Introduction......Page 64
5.2 Integration of OR/MS into Six Sigma Deployment......Page 65
5.3 A New Roadmap for Six Sigma Black Belt Training......Page 67
5.4 Case Study:Manpower Resource Planning......Page 73
References......Page 83
PART B: MEASURE PHASE......Page 86
6.1 Introduction......Page 88
6.2 Process Variability......Page 91
6.3 Nested Design......Page 94
References......Page 98
7.1 Introduction......Page 100
7.2 The Mind Map Step by Step......Page 101
7.3 Comparison between Fishbone Diagrams and Mind Maps......Page 102
References......Page 106
8.1 Introduction......Page 108
8.2 Current Reality Tree......Page 109
8.3 Future Reality Tree (FRT)......Page 112
8.4 Comparison with Current Six Sigma Tools......Page 116
References......Page 120
9.1 Introduction......Page 122
9.2 Surrogate PCIs for Nonnormal Data......Page 123
9.3 Simulation Study......Page 128
9.4 Discussion of Simulation Results......Page 142
9.5 Conclusion......Page 143
References......Page 144
10.1 Introduction......Page 146
10.2 Illustration of the Two Methodologies Using a Case Study Data Set......Page 147
10.3 A Further Case Study......Page 156
10.4 Monte Carlo Simulation......Page 160
References......Page 164
PART C: ANALYZE PHASE......Page 166
11.1 Introduction......Page 168
11.2 Underlying Principles of Goodness-of-Fit Tests......Page 169
11.3 Pearson Chi-Square Test......Page 170
11.4 Empirical Distribution Function Based Approaches......Page 172
11.5 Regression-Based Approaches......Page 178
11.6 Fisher ’s Cumulant Tests......Page 182
References......Page 185
12.1 Introduction......Page 186
12.2 Contingency Table Approach......Page 188
12.3 Case Study......Page 191
12.4 Logistic Regression Approach......Page 196
References......Page 208
13 A Graphical Approach to Obtaining Confidence Limits of Cpk......Page 210
13.1 Introduction......Page 211
13.2 Graphing Cp, k and p......Page 212
13.3 Confidence Limits for k......Page 214
13.4 Confidence Limits For Cpk......Page 216
13.5 A Simulation Study......Page 218
13.6 Illustrative Examples......Page 221
13.7 Comparison with Bootstrap Confidence Limits......Page 222
13.8 Conclusions......Page 224
References......Page 225
14.1 Introduction......Page 226
14.2 Problems of Three-Sigma Limits for the G Chart......Page 227
14.3 Some Possible Transformations......Page 228
14.4 Some Numerical Comparisons......Page 231
14.5 Sensitivity Analysis of the Q Transformation......Page 234
References......Page 236
15.1 Introduction......Page 238
15.2 Experimental Procedure and Results......Page 240
15.3 Moisture Soak Model......Page 242
15.4 Discussion......Page 249
References......Page 251
PART D: IMPROVE PHASE......Page 252
16.1 Factorial Designs......Page 254
16.2 Analysis of Factorial Designs......Page 257
16.3 Residual Analysis......Page 258
16.4 Types of Factorial Experiments......Page 259
16.5 Fractional Factorial Designs......Page 261
16.6 Robust Design......Page 265
17.1 Introduction......Page 272
17.3 Infeasible Conditions......Page 273
17.4 Variants of Taguchi Orthogonal Arrays......Page 275
17.6 Accuracy of Lean Design Analysis......Page 277
17.7 A Numerical Illustration......Page 278
17.8 Concluding Remarks......Page 279
References......Page 280
18 Taguchi Methods: Some Technical, Cultural and Pedagogical Perspectives......Page 282
18.2 General Approaches to Quality......Page 283
18.3 Stages in Statistical Applications......Page 284
18.4 The Taguchi Approach......Page 287
18.5 Taguchi ’s ‘Statistical Engineering ’......Page 288
18.6 Cultural Insights......Page 297
18.7 Training and Learning......Page 301
18.8 Concluding Remarks......Page 306
18.9 Epilogue......Page 307
References......Page 308
19.1 Introduction......Page 312
19.3 Rationale of Lean Design......Page 313
19.4 Potential of Lean Design......Page 314
19.5 Illustrative Example......Page 317
19.6 Possible Applications......Page 318
19.7 Concluding Remarks......Page 320
References......Page 321
20.1 Introduction......Page 322
20.2 Review of Existing Techniques for Dual Response Surface Optimization......Page 323
20.3 Example 1......Page 329
20.4 Example 2......Page 334
20.5 Conclusions......Page 335
References......Page 337
PART E: CONTROL PHASE......Page 338
21.1 Introduction......Page 340
21.2 Basic Properties of the CCC Chart......Page 341
21.3 CCC Scheme with Estimated Parameter......Page 342
21.4 Constructing A CCC Chart......Page 345
21.5 Numerical Examples......Page 351
21.6 Conclusion......Page 354
References......Page 355
22 Simultaneous Monitoring of the Mean,Variance and Autocorrelation Structure of Serially Correlated Processes......Page 358
22.1 Introduction......Page 359
22.2 The Proposed Approach......Page 360
22.3 ARL Performance......Page 361
22.4 Numerical Example......Page 364
22.5 Conclusion......Page 366
References......Page 367
23.1 Introduction......Page 368
23.2 Detecting Outliers and Level Shifts......Page 370
23.3 Behavior of LS,t......Page 373
23.4 Proposed Monitoring Procedure......Page 378
23.5 Conclusions......Page 381
References......Page 383
24.1 Introduction......Page 386
24.2 Fast Initial Response......Page 389
References......Page 394
25.1 Introduction......Page 396
25.2 Backward CUSUM......Page 397
25.3 Symmetric Cumulative Sum Schemes......Page 402
25.4 CUSUM Scheme for Autocorrelated Observations......Page 406
25.5 Conclusion......Page 419
References......Page 420
Index......Page 422