### Available:*

Library | Call Number | Material Type | Home Location | Status |
---|---|---|---|---|

Central Library | TS156 .O86 2000 | Book and Software Set | Central Closed Stacks | Searching... |

### On Order

### Summary

### Summary

Troubleshooting tool for manufacturing processes.A hands-on, solutions-oriented guide, Process QualityControl, Third Edition, by Ellis R, Ott, Edward G.Schilling, and Dean V. Neubauer, gives you a systematicapproach to gathering and analyzing data fortroubleshooting manufacturing processes. This classicemphasizes short term and long term variability, particularly with regard to process capability andperformance. The third edition gives you many newanalytical methods, insights into their application, andcase studies. These techniques include toleranceintervals, a test for the comparison of long term andshort term variation, simplified attribute sample sizedetermination, and an updated discussion of sampling.You'll also find an expanded discussion of control charts, including trend charts, manual adjustment charts, andshort run charts. While the emphasis is on processcontrol, you'll also find significant material on analysis of means.

### 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 |