Quality and Reliability in Engineering

Quality and Reliability in Engineering provides an integrated approach to quality specification, quality control and monitoring, and reliability. Examples and exercises stress practical engineering applications. Steps in the development of the theory are implemented in complete, self-contained computer programs. The book serves as a textbook for upper level undergraduate courses in quality and reliability in mechanical engineering, manufacturing engineering, and industrial engineering programs. It can be used as a supplement to upper level capstone design courses, short courses for quality training, and as a learning resource for practicing engineers.

Tirupathi R. Chandrupatla has been a professor and Founding Chair of Mechanical Engineering at Rowan University, Glassboro, New Jersey, since 1995. He received his M.S. degree in design and manufacturing from the Indian Institute of Technology (IIT), Bombay, and his Ph.D. from the University of Texas at Austin. He began his career as a design engineer with Hindustan Machine Tools (HMT), Bangalore. His first teaching post was at IIT, Bombay. He has also taught at the University of Kentucky, Lexington, and GMI Engineering and Management Institute (now called Kettering University), Flint, Michigan, before joining Rowan. Chandrupatla is the author of Introduction to Finite Elements in Engineering, Optimization Concepts and Applications in Engineering, and Finite Element Analysis for Engineering and Technology. The first book has been translated into Spanish, Korean, Greek, and Chinese. Chandrupatla's research interests include design, optimization, manufacturing engineering, finite element analysis, and quality and reliability. He has published widely in these areas and serves as a consultant to industry. Chandrupatla is a registered Professional Engineer and also a Certified Manufacturing Engineer. He is a member of the American Society for Engineering Education (ASEE), the American Society of Mechanical Engineers (ASME), the Society of Automotive Engineers (SAE), and the Society of Manufacturing Engineers (SME).

Preface	p. xi
Acknowledgments	p. xv
Quality Concepts	p. 1
Introduction	p. 1
Quality and Reliability Defined	p. 1
Historical Development	p. 2
Quality Philosophies	p. 3
Conclusion	p. 6
Questions for Discussion	p. 7
Tolerances and Fits	p. 8
Introduction	p. 8
Preferred Numbers	p. 8
Tolerances and Fits	p. 9
Manufacturing Processes and Tolerances	p. 15
Tolerance Selection in Assemblies	p. 15
Summary	p. 21
Exercise Problems	p. 22
Geometric Tolerances	p. 24
Introduction	p. 24
Geometric Tolerances - Some Basic Ideas	p. 24
Tolerances of Form	p. 29
Profile Tolerances	p. 39
Orientation Tolerances	p. 39
Tolerances of Location	p. 43
Tolerances of Runout	p. 47
Summary	p. 49
Exercise Problems	p. 49
Elements of Probability and Statistics	p. 54
Introduction	p. 54
Probability	p. 54
Statistics	p. 58
Probability Distribution Definitions	p. 64
Discrete Probability Distributions	p. 68
Continuous Distributions	p. 73
Summary	p. 84
Exercise Problems	p. 84
Sampling Concepts	p. 88
Introduction	p. 88
The Central Limit Theorem	p. 88
Confidence Interval Estimation	p. 90
Confidence Interval for the Mean of a Normal Population	p. 90
Confidence Interval for the Difference between Two Means	p. 93
Confidence Interval for a Proportion	p. 94
Confidence Interval for the Variance	p. 96
Confidence Interval for the Ratio of Two Variances	p. 97
Hypothesis Testing	p. 98
Type I and Type II Errors	p. 102
Sample Size Determination	p. 106
Summary	p. 107
Exercise Problems	p. 107
Data Presentation: Graphs and Charts	p. 110
Introduction	p. 110
Stem-and-Leaf Plots	p. 110
Histograms	p. 111
Cause-and-Effect Diagrams	p. 112
Pareto Charts	p. 114
Box Plots	p. 115
Normal Probability Plot	p. 116
Run Charts	p. 118
Summary	p. 119
Exercise Problems	p. 120
Statistical Process Control	p. 122
Introduction	p. 122
Order Statistics and Other Preliminaries	p. 122
Causes of Variation	p. 124
Statistical Process Control Concepts	p. 125
Control Charts for Variables	p. 129
Control Charts for Attributes	p. 146
Operating Characteristic (OC) Curves	p. 150
Summary	p. 154
Exercise Problems	p. 154
Process Capability Analysis	p. 158
Introduction	p. 158
Process Capability	p. 158
Measurement System Analysis - Gage Repeatability and Reproducibility Study	p. 166
Propagation of Errors	p. 172
Prediction and Tolerance Intervals for Normal Distribution	p. 173
Summary	p. 179
Exercise Problems	p. 179
Acceptance Sampling	p. 182
Introduction	p. 182
Acceptance Sampling for Attributes	p. 182
Sampling Plans for Variables	p. 195
Summary	p. 205
Exercise Problems	p. 205
Experimental Design	p. 207
Introduction	p. 207
Basic Concepts	p. 207
Factorial Experiments	p. 209
2^k Factorial Experiments	p. 223
Summary	p. 232
Exercise Problems	p. 232
Reliability Concepts	p. 236
Introduction	p. 236
Reliability Functions	p. 236
Failure Distributions	p. 238
System Reliability	p. 243
K-of-N Systems	p. 248
Standby Systems	p. 250
Summary	p. 251
Exercise Problems	p. 252
Reliability Testing	p. 255
Introduction	p. 255
Weibull Distribution Parameter Estimation	p. 255
Lognormal Distribution Parameter Estimation	p. 260
Exponential-Based Life Testing and Confidence Intervals	p. 260
Sampling Procedures for Life Testing (Exponential-Based)	p. 263
Summary	p. 270
Exercise Problems	p. 271
Appendix	p. 273
Answers to Selected Problems	p. 295
Bibliography	p. 301
Index	p. 305
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Quality and Reliability in Engineering

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