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Format: 1 Online-Ressource (249 Seiten)

ISBN: 9781000401165

Series Statement: ASA-CRC Series on Statistical Reasoning in Science and Society Ser

Note: Description based on publisher supplied metadata and other sources , Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Authors -- Chapter 1 Reliability and the Role of Statistics: An Introduction -- 1.1 Reliability: As the Customers See It -- 1.2 What Is Reliability? -- 1.3 Shift from a Reactive to a Proactive Mindset in Reliability Assurance -- 1.4 Reliability Assurance over the Entire Product Lifecycle -- Setting Reliability Goals -- Nonrepairable Products -- Repairable Products -- Evolution of the Role of Statistics in Reliability Assurance -- Reliability Evaluation of a Conceptual Design (Chapter 2) -- Product Development and Assessment (Chapter 3) -- Reliability Validation (Chapter 4) -- Manufacturing (Chapter 5) -- Field Tracking (Chapters 6 and 7) -- Major Takeaways -- References and Additional Resources -- Chapter 2 System Reliability Evaluation of a Conceptual Design -- 2.1 System Reliability Modeling -- 2.2 Reliability Block Diagrams -- Components in Series -- Components in Parallel -- Components in Series and Parallel -- 2.3 Calculating System Reliability from Component Reliability -- Series Systems -- Parallel Systems -- More Complicated Systems -- 2.4 Computer Tools for System Reliability Analysis -- 2.5 System Reliability Example: Washing Machine Design -- System Description -- Reliability Model -- Subsystem Reliability Targets -- Introducing Redundancy -- 2.6 Assumptions and Extensions -- Types of Redundancy -- The Assumption of Independence -- A Failure of Perceived Redundancy -- Assessment of Component Reliability -- 2.7 Further Considerations -- Effect of Part-Count Reduction -- Assessing the Reliability of Different Size Products -- Assessing the Impact of Removal of a Failure Mode -- Major Takeaways -- References and Additional Resources -- Chapter 3 Product Reliability Development -- 3.1 Paths to Reliability Improvement , 3.2 Design of Experiments and Robust Design for Reliability -- 3.3 Reliability Evaluation -- Use-Rate Acceleration -- Washing Machine Motor Example -- Testing Strategy -- The Test Plan -- Results after Six Months -- Results Assuming Elimination of Plastic Part Failure Mode -- Further Evaluation and Testing -- Accelerated Life Tests -- Types of ALTs -- Acceleration Models -- Conducting an ALT -- Generator Insulation Example -- Test Plan and Protocol -- Results -- Analysis -- Further Considerations on ALTs -- Degradation Testing -- Battery Example -- Degradation Measures -- Degradation Data -- Analysis of Degradation Data -- Dangers of Extrapolation -- Major Takeaways -- References and Additional Resources -- Chapter 4 Reliability Validation -- 4.1 The Need for Reliability Validation -- 4.2 In-House Testing -- Generator Insulation Example: Description -- An Unpleasant Discovery: A New Failure Mode -- Initial Analysis -- Separate Analyses by Failure Mode -- A Key Point: Obtain and Report all Relevant Data -- Validating Fixes -- 4.3 Beta Site Testing -- Beta Site Testing Example: Laptop Computer Reliability Tracking System -- Limitations -- 4.4 Reliability Growth Analysis -- Example -- Duane Plots -- 4.5 Reliability Demonstration Test Planning -- Product Reliability Demonstration Test: The Concept -- Zero-Failure Reliability Demonstration Tests -- Distribution-Free Zero-Failure Reliability Demonstration Test Plan -- Further Comments on Distribution-Free Zero-failure Reliability Demonstration Test Plans -- Zero-Failure Reliability Demonstration Test Plan assuming a Weibull Distribution -- Application of Preceding Plan to Bearing Life Example -- A Major Downside of Zero-failure Reliability Demonstration Tests -- Other Reliability Demonstration Test Plans -- What It All Adds Up to -- 4.6 Product Safety , 4.7 Setting the Stage for Process-Focused Reliability Assurance in Manufacturing -- Major Takeaways -- References and Additional Resources -- Chapter 5 Reliability Assurance in Manufacturing -- 5.1 Quality and Reliability Assurance in Manufacturing -- 5.2 Evolution of Reliability Assurance in Manufacturing -- 5.3 Setting the Stage for Process-Focused Reliability Assurance in Manufacturing -- Identification of Key Process Variables That Impact Reliability -- Measurement Capability -- Process Window -- Process Stability and Capability -- Process Surveillance Planning -- Statistical Process Monitoring -- 5.4 Disciplined Approaches to Manufacturing Process Improvement -- 5.5 Process Improvement Case Study: Stator Bar Manufacturing -- Define and Scope the Problem -- Capability and Stability Assessment -- Assessing Measurement Error -- Reducing Deviations from Target and Variability -- Fix Deviation from Target -- Find Root Causes of Variability -- Understanding Major Source of Variation -- Reducing Variability -- Validate -- Statistical Monitoring -- 5.6 Product Reliability Testing -- Reliability Audit Testing -- Reliability Acceptance Testing -- 5.7 Product Burn-in -- Major Takeaways -- References and Additional Resources -- Chapter 6 Field Reliability Tracking -- 6.1 The Challenge of Field Reliability Tracking -- 6.2 Goals of Reliability Tracking -- 6.3 Reliability Tracking for Nonrepairable Products -- Laptop Computer Hard Drive Example -- Segmentation Analysis for a Laptop Computer Hard Drive -- Reporting and Corrective Action System -- Another Segmentation Example: Aircraft Engine Bleed System -- 6.4 Reliability Tracking for Repairable Products -- Locomotive Braking Grid Example -- Segmentation Analysis for Locomotive Braking Grids Example -- 6.5 Prediction of Future Number of Failures -- Washing Machine Circuit Board Example , Field Failure Data Analysis on Circuit Boards -- Management Decision -- Prediction of Future Number of Failures -- 6.6 Emerging Applications -- Major Takeaways -- References and Additional Resources -- Chapter 7 A Peek into the Future -- 7.1 The New Generation of Reliability Data -- 7.2 Applications in Reliability -- Product Maintenance Schedules -- Proactive Parts Replacement Strategies -- Automated Monitoring for Impending Failures -- Locomotive Engine Example -- 7.3 Further Topics -- Major Takeaways -- References and ADDITIONAL Resources -- Chapter 8 Statistical Concepts and Tools for Product Lifetime Data Analysis -- 8.1 What's Different about Product Lifetime Data Analysis? -- 8.2 Product Lifetime Distributions: Key Concepts -- Hazard Function -- The Weibull Distribution -- The Exponential Distribution -- The Lognormal Distribution -- 8.3 Lifetime Data Analysis Case Study: Washing Machine Circuit Board Failures Data -- Information Sought -- General Approach to Lifetime Data Analysis -- Graphical Analysis -- Weibull vs. Lognormal Distribution Analysis -- Estimation of Model Parameters and Other Quantities of Interest -- 8.4 Further Topics -- Beware of Extrapolation! -- Bayesian Methods in Lifetime Data Analysis -- Software for Statistical Analysis of Reliability Data -- Major Takeaways -- References and Additional Resources -- Index

Additional Edition: Erscheint auch als Druck-Ausgabe Doganaksoy, Necip Achieving Product Reliability Milton : CRC Press LLC,c2021 ISBN 9781315167107

Language: English

UID:

Format: 1 online resource.

Edition: First edition.

ISBN: 9781003181361 , 1003181368 , 9781000401165 , 1000401162 , 9781000401134 , 1000401138

Series Statement: ASA-CRC series on statistical reasoning in science and society

Content: "Are you buying a car or smartphone or dishwasher? We bet long-term, trouble-free operation (i.e., high reliability) is among the top three things you look for. Reliability problems can lead to everything from minor inconveniences to human disasters. Ensuring high reliability in designing and building manufactured products is principally an engineering challenge-but statistics plays a key role. Achieving Product Reliability explains in a non-technical manner how statistics is used in modern product reliability assurance. Features: Describes applications of statistics in reliability assurance in design, development, validation, manufacturing, and field tracking. Uses real-life examples to illustrate key statistical concepts such as the Weibull and lognormal distributions, hazard rate, and censored data. Demonstrates the use of graphical tools in such areas as accelerated testing, degradation data modeling, and repairable systems data analysis. Presents opportunities for profitably applying statistics in the era of Big Data and Industrial Internet of Things (IIoT) utilizing, for example, the instantaneous transmission of large quantities of field data. Whether you are an intellectually curious citizen, student, manager, budding reliability professional, or academician seeking practical applications, Achieving Product Reliability is a great starting point for a big-picture view of statistics in reliability assurance. The authors are world-renowned experts on this topic with extensive experience as company-wide statistical resources for a global conglomerate, consultants to business and government, and researchers of statistical methods for reliability applications. Dr. Necip Doganaksoy is an associate professor at the School of Business of Siena College, following a 26-year career in industry, mostly at General Electric (GE). Dr. William Q. Meeker is a professor of statistics and distinguished professor of liberal arts and sciences at Iowa State University and a frequent consultant to industry. Dr. Gerald J. Hahn is a retired manager of statistics at GE Global Research after a 46-year career at GE. All three authors are Fellows of the American Society for Quality and the American Statistical Association, elected members of the International Statistical Institute, authors of three or more books, and recipients of numerous prestigious professional awards"--

Note: Reliability and the role of statistics : an introduction -- System reliability evaluation of a conceptual design -- Product reliability development -- Reliability validation -- Reliability assurance in manufacturing -- Field reliability tracking -- A peek into the future -- Statistical concepts and tools for product lifetime data analysis.

Additional Edition: Print version: Doganaksoy, Necip, 1960- Achieving product reliability Boca Raton : CRC Press, 2021. ISBN 9781138054004

Language: English

Keywords: Electronic books.

DOI: 10.1201/9781003181361

URL: https://www.taylorfrancis.com/books/9781003181361