About the Author ixPreface xiAcknowledgments xiiiAbout the Companion Website xv1 Introduction 11.1 Reliability Concepts 11.1.1 Reliability in Our Lives 11.1.2 History of Reliability 21.1.3 Definition of Reliability 21.1.4 Quality and Reliability 31.1.5 The Importance of Reliability 41.2 Failure Concepts 51.2.1 Definition of Failure 51.2.2 Causes of Failure 51.2.3 Types of Failure Time 71.2.4 The Reliability Bathtub Curve 121.3 Summary 162 Basic Concepts of Probability 192.1 Probability 192.1.1 The Importance of Probability in Reliability 202.2 Joint Probability with Independence 202.3 Union Probability 212.4 Conditional Probability 222.5 Joint Probability with Dependence 222.6 Mutually Exclusive Events 232.7 Complement Rule 242.8 Total Probability 242.9 Bayes' Rule 252.10 Summary 263 Lifetime Distributions 293.1 Probability Distributions 293.1.1 Random Variables 293.2 Discrete Probability Distribution 303.3 Continuous Probability Distribution 323.3.1 Reliability Concepts 333.3.2 Failure Rate 353.4 Exponential Distribution 373.4.1 Exponential Lack of Memory Property 403.4.2 Excel Practice 413.4.3 Minitab Practice 413.4.4 Python Practice 433.5 Weibull Distribution 463.5.1 Excel Practice 523.5.2 Minitab Practice 523.5.3 Python Practice 533.6 Normal Distribution 543.6.1 Excel Practice 603.6.2 Minitab Practice 603.6.3 Python Practice 623.7 Lognormal Distribution 633.7.1 Excel Practice 663.7.2 Minitab Practice 663.7.3 Python Practice 683.8 Summary 704 Reliability Data Plotting 774.1 Straight Line Properties 774.2 Least Squares Fit 794.2.1 Excel Practice 814.2.2 Minitab Practice 824.2.3 Python Practice 824.3 Linear Rectification 844.4 Exponential Distribution Plotting 844.4.1 Excel Practice 924.4.2 Minitab Practice 924.4.3 Python Practice 944.5 Weibull Distribution Plotting 964.5.1 Minitab Practice 994.5.2 Python Practice 1004.6 Normal Distribution Plotting 1034.6.1 Minitab Practice 1054.6.2 Python Practice 1054.7 Lognormal Distribution Plotting 1064.7.1 Minitab Practice 1084.7.2 Python Practice 1104.8 Summary 1115 Accelerated Life Testing 1155.1 Accelerated Testing Theory 1155.2 Exponential Distribution Acceleration 1175.3 Weibull Distribution Acceleration 1185.3.1 Minitab Practice 1195.3.2 Python Practice 1205.4 Arrhenius Model 1235.4.1 Minitab Practice 1255.4.2 Python Practice 1275.5 Summary 1296 System Failure Modeling 1316.1 Reliability Block Diagram 1316.2 Series System Model 1326.3 Parallel System Model 1356.4 Combined Serial-Parallel System Model 1386.5 k-out-of-n System Model 1406.6 Minimal Paths and Minimal Cuts 1426.7 Summary 1487 Repairable Systems 1517.1 Corrective Maintenance 1517.2 Preventive Maintenance 1527.3 Mean Time between Failures 1527.4 Mean Time to Repair 1537.5 Availability 1537.5.1 Inherent Availability 1537.5.2 Achieved Availability 1547.5.3 Operational Availability 1557.5.4 System Availability 1567.6 Maintainability 1567.7 Preventive Maintenance Scheduling 1577.7.1 Python Practice 1607.8 Summary 1618 Case Studies 1658.1 Parametric Reliability Analysis 1658.1.1 Description of Case Study 1668.1.2 Minitab Practice 1668.1.3 Python Practice 1778.2 Nonparametric Reliability Analysis 1848.2.1 Description of Case Study 1848.2.2 Minitab Practice 1858.2.3 Python Practice 1898.3 Driverless Car Failure Data Analysis 1908.3.1 Description of Case Study 1908.3.2 Minitab Practice 1938.3.3 Python Practice 1998.4 Warranty Analysis 2028.4.1 Description of Case Study 2028.4.2 Minitab Practice 2048.5 Stress-Strength Interference Analysis 2108.5.1 Description of Case Study 2108.5.2 Minitab Practice 2118.5.3 Python Practice 2138.6 Summary 214Index 219
Jaejin Hwang is Associate Professor in the Industrial and Systems Engineering Department at Northern Illinois University, USA. He received his PhD in Industrial and Systems Engineering from Ohio State University, USA, in 2016 and has published two books with CRC Press and Mercury Learning & Information respectively. He has also been a guest editor for the International Journal of Environmental Research and Public Health.