Title:
Process quality control : troubleshooting and interpretation of data
Personal Author:
Edition:
2nd ed.
Publication Information:
New York : Mc Graw-Hill, 1990
ISBN:
9780070479241
Added Author:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000001112170 | TS156 O86 1990 | Open Access Book | Book | Searching... |
On Order
Table of Contents
Case Histories | p. xiii |
Preface to the Third Edition | p. xv |
Preface to the Second Edition | p. xix |
Preface to the First Edition | p. xxiii |
Part 1 Basics of Interpretation of Data | |
Chapter 1. Variables Data: An Introduction | p. 3 |
1.1 Introduction--An Experience with Data | p. 3 |
1.2 Variability | p. 5 |
1.3 Organizing Data | p. 7 |
1.4 Grouping Data When n is Large | p. 8 |
1.5 The Arithmetic Average or Mean--Central Value | p. 11 |
1.6 Measures of Variation | p. 12 |
1.7 Normal Probability Plots | p. 18 |
1.8 Prediction Regarding Sampling Variation: The Normal Curve | p. 20 |
1.9 Series of Small Samples from a Production Process | p. 27 |
1.10 Changes in Sample Size: Predictions about X and [sigma] | p. 28 |
1.11 How Large a Sample Is Needed to Estimate a Process Average? | p. 30 |
1.12 Sampling and a Second Method of Computing [sigma] | p. 31 |
1.13 Some Important Remarks about the Two Estimates | p. 34 |
1.14 Stem-and-Leaf | p. 36 |
1.15 Box-Plots | p. 37 |
1.16 Tolerance Intervals for Populations | p. 39 |
1.17 A Note on Notation | p. 41 |
1.18 Summary | p. 43 |
1.19 Practice Exercises | p. 43 |
Chapter 2. Ideas from Time Sequences of Observations | p. 53 |
2.1 Introduction | p. 53 |
2.2 Data from a Scientific or Production Process | p. 56 |
2.3 Signals and Risks | p. 57 |
2.4 Run Criteria | p. 59 |
2.5 Shewhart Control Charts for Variables | p. 65 |
2.6 Probabilities Associated with an X-Control Chart: Operating-Characteristic Curves | p. 74 |
2.7 Control Charts for Trends | p. 91 |
2.8 Practice Exercises | p. 99 |
Chapter 3. Ideas from Outliers--Variables Data | p. 105 |
3.1 Introduction | p. 105 |
3.2 Other Objective Tests for Outliers | p. 109 |
3.3 Two Suspected Outliers on the Same End of a Sample of n (Optional) | p. 111 |
3.4 Practice Exercises | p. 113 |
Chapter 4. Variability--Estimating and Comparing | p. 115 |
4.1 Introduction | p. 115 |
4.2 Statistical Efficiency and Bias in Variability Estimates | p. 115 |
4.3 Estimating [sigma] and [sigma superscript 2] from Data: One Sample of Size n | p. 117 |
4.4 Data from n Observations Consisting of k Subsets of n[subscript g] = r: Two Procedures | p. 118 |
4.5 Comparing Variabilities of Two Populations | p. 120 |
4.6 Summary | p. 129 |
4.7 Practice Exercises | p. 131 |
Chapter 5. Attributes or Go No-Go Data | p. 133 |
5.1 Introduction | p. 133 |
5.2 Three Important Problems | p. 133 |
5.3 On How to Sample | p. 143 |
5.4 Attributes Data Which Approximate a Poisson Distribution | p. 145 |
5.5 Practice Exercises | p. 153 |
Part 2 Statistical Process Control | |
Chapter 6. On Sampling to Provide a Feedback of Information | p. 157 |
6.1 Introduction | p. 157 |
6.2 Scientific Sampling Plans | p. 159 |
6.3 A Simple Probability | p. 160 |
6.4 Operating-Characteristic Curves of a Single Sampling Plan | p. 160 |
6.5 But Is it a Good Plan? | p. 161 |
6.6 Average Outgoing Quality (AOQ) and Its Maximum Limit (AOQL) | p. 163 |
6.7 Computing the Average Outgoing Quality (AOQ) of Lots from a Process Producing P Percent Defective | p. 164 |
6.8 Other Important Concepts Associated with Sampling Plans | p. 167 |
6.9 Risks | p. 167 |
6.10 Tabulated Sampling Plans | p. 168 |
6.11 Feedback of Information | p. 169 |
6.12 Where Should Feedback Begin? | p. 172 |
6.13 Outgoing Product Quality Rating (OPQR) | p. 173 |
6.14 Practice Exercises | p. 190 |
Chapter 7. Narrow-Limit Gauging in Process Control | p. 191 |
7.1 Introduction | p. 191 |
7.2 Outline of an NL-Gauging Plan | p. 192 |
7.3 Selection of a Simple NL-Gauging Sampling Plan | p. 193 |
7.4 Sequential NL-Gauging Plans | p. 198 |
7.5 OC Curves of NL-Gauge Plans | p. 201 |
7.6 Hazards | p. 204 |
7.7 Selection of an NL-Gauge Plan | p. 208 |
7.8 Practice Exercises | p. 209 |
Chapter 8. On Implementing Statistical Process Control | p. 211 |
8.1 Introduction | p. 211 |
8.2 Key Aspects of Process Quality Control | p. 212 |
8.3 Process Control | p. 213 |
8.4 Uses of Control Charts | p. 215 |
8.5 Rational Subgroups | p. 216 |
8.6 Special Control Charts | p. 216 |
8.7 Median Chart | p. 216 |
8.8 Standard Deviation Chart | p. 220 |
8.9 Acceptance Control Chart | p. 221 |
8.10 Modified Control Limits | p. 224 |
8.11 Arithmetic and Exponentially Weighted Moving Average Charts | p. 226 |
8.12 Cumulative Sum Charts | p. 229 |
8.13 Precontrol | p. 243 |
8.14 Narrow Limit Control Charts | p. 246 |
8.15 How to Apply Control Charts | p. 246 |
8.16 Other Control Charts | p. 250 |
8.17 Process Capability | p. 262 |
8.18 Process-Optimization Studies | p. 262 |
8.19 Capability and Specifications | p. 264 |
8.20 Process Performance | p. 268 |
8.21 Process Improvement | p. 271 |
8.22 Process Change | p. 271 |
8.23 Problem Identification | p. 272 |
8.24 Prioritization | p. 273 |
8.25 Summary | p. 275 |
8.26 Practice Exercises | p. 276 |
Part 3 Troubleshooting and Process Improvement | p. 280 |
Chapter 9. Some Basic Ideas and Methods of Troubleshooting | p. 281 |
9.1 Introduction | p. 281 |
9.2 Some Types of Independent and Dependent Variables | p. 282 |
9.3 Some Strategies in Problem Finding, Problem Solving, and Troubleshooting | p. 284 |
9.4 Bicking's Checklist | p. 289 |
9.5 Practice Exercises | p. 289 |
Chapter 10. Some Concepts of Statistical Design of Experiments | p. 293 |
10.1 Introduction | p. 293 |
10.2 Effects | p. 294 |
10.3 Sums of Squares | p. 297 |
10.4 Yates Method | p. 299 |
10.5 Blocking | p. 304 |
10.6 Fractional Factorials | p. 304 |
10.7 Graphical Analysis of 2[superscript p] Designs | p. 307 |
10.8 Conclusion | p. 312 |
10.9 Practice Exercises | p. 315 |
Chapter 11. Troubleshooting with Attributes Data | p. 319 |
11.1 Introduction | p. 319 |
11.2 Ideas from Sequences of Observations over Time | p. 320 |
11.3 Decision Lines Applicable to k Points Simultaneously | p. 321 |
11.4 Analysis of Means for Proportions | p. 329 |
11.5 Example--Proportions | p. 330 |
11.6 Analysis of Means for Count Data | p. 330 |
11.7 Example--Count Data | p. 331 |
11.8 Introduction to Case Histories | p. 332 |
11.9 One Independent Variable with k Levels | p. 333 |
11.10 Two Independent Variables | p. 342 |
11.11 Three Independent Factors | p. 354 |
11.12 A Very Important Experimental Design: 1/2 [times] 2[superscript 3] | p. 367 |
11.13 Case History Problems | p. 371 |
11.14 Practice Exercises | p. 376 |
Chapter 12 Special Strategies in Troubleshooting | p. 379 |
12.1 Ideas from Patterns of Data | p. 379 |
12.2 Disassembly and Reassembly | p. 383 |
12.3 A Special Screening Program for Many Treatments | p. 387 |
12.4 Other Screening Strategies | p. 393 |
12.5 Relationship of One Variable to Another | p. 393 |
12.6 Use of Transformations and ANOM | p. 397 |
12.7 Practice Exercises | p. 405 |
Chapter 13. Comparing Two Process Averages | p. 407 |
13.1 Introduction | p. 407 |
13.2 Tukey's Two-Sample Test to Duckworth's Specifications | p. 407 |
13.3 Analysis of Means, k = 2, n[subscript g] = r[subscript 1] = r[subscript 2] = r | p. 409 |
13.4 Student's t and F Test Comparison of Two Stable Processes | p. 411 |
13.5 Magnitude of the Difference between Two Means | p. 413 |
13.6 Practice Exercises | p. 422 |
Chapter 14. Troubleshooting with Variables Data | p. 425 |
14.1 Introduction | p. 425 |
14.2 Suggestions in Planning Investigations--Primarily Reminders | p. 426 |
14.3 A Statistical Tool for Process Change | p. 427 |
14.4 Analysis of Means for Measurement Data | p. 428 |
14.5 Example--Measurement Data | p. 430 |
14.6 Analysis of Means: A 2[superscript 2] Factorial Design | p. 431 |
14.7 Three Independent Variables: A 2[superscript 3] Factorial Design | p. 438 |
14.8 Computational Details for Two-Factor Interactions in a 2[superscript 3] Factorial Design | p. 444 |
14.9 A Very Important Experimental Design: 1/2 [times] 2[superscript 3] | p. 445 |
14.10 General ANOM Analysis of 2[superscript p] and 2[superscript p-1] Designs | p. 451 |
14.11 Practice Exercises | p. 453 |
Chapter 15. More Than Two Levels of an Independent Variable | p. 457 |
15.1 Introduction | p. 457 |
15.1 An Analysis of k Independent Samples--Standard Given--One Independent Variable | p. 458 |
15.3 An Analysis of k Independent Samples--No Standard Given--One Independent Variable | p. 459 |
15.4 Analysis of Means--No Standard Given--More Than One Independent Variable | p. 464 |
15.5 Analysis of Two-Factor Crossed Designs | p. 465 |
15.6 The Relation of Analysis of Means to Analysis of Variance (Optional) | p. 472 |
15.7 Analysis of Fully Nested Designs (Optional) | p. 474 |
15.8 Analysis of Means for Crossed Experiments--Multiple Factors | p. 479 |
15.9 Nested Factorial Experiments (Optional) | p. 493 |
15.10 Multifactor Experiments with Attributes Data | p. 493 |
15.11 Analysis of Means When the Sample Sizes Are Unequal | p. 499 |
15.12 Comparing Variabilities | p. 500 |
15.13 Nonrandom Uniformity | p. 505 |
15.14 Development of Analysis of Means | p. 508 |
15.15 Practice Exercises | p. 517 |
Chapter 16. What's on the CD | p. 519 |
Chapter 17. Epilogue | p. 531 |
Appendix Tables | p. 539 |
Index | p. 575 |