Achieving product reliability: a key to business success

By:

Doganaksoy, Necip

Contributor(s):

Material type: Text

TextSeries: ASA-CRC Series on Statistical Reasoning in Science and SocietyPublication details: CRC Press Boca Raton 2021Description: xxiii, 223 pISBN:

9781138054004

Subject(s):

DDC classification:

658.8 DOG

Summary: 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 (https://www.routledge.com/Achieving-Product-Reliability-A-Key-to-Business-Success/Doganaksoy-Meeker-Hahn/p/book/9781138054004?srsltid=AfmBOoqzvG5ssHl4xdNGA93JcZ0ZnS3iTHDXMHsBmXfSIuyC2xKU0rrI)

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.8 DOG (Browse shelf(Opens below))	1	Available		006761

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Table of content:
Preface, xv
Acknowledgments, xxi
Author Biographies, xxiii

Chapter 1 ▪ Reliability and the Role of Statistics:
An Introduction 1

Chapter 2 ▪ System Reliability Evaluation of a
Conceptual Design 27

Chapter 3 ▪ Product Reliability Development 51

Chapter 4 ▪ Reliability Validation 87

Chapter 5 ▪ Reliability Assurance in Manufacturing 111

Chapter 6 ▪ Field Reliability Tracking 143

Chapter 7 ▪ A Peek into the Future 173

Chapter 8 ▪ Statistical Concepts and Tools for

Product Lifetime Data Analysis 191

MAJOR TAKEAWAYS 214

REFERENCES AND ADDITIONAL RESOURCES 215

INDEX, 217
[https://www.routledge.com/Achieving-Product-Reliability-A-Key-to-Business-Success/Doganaksoy-Meeker-Hahn/p/book/9781138054004?srsltid=AfmBOoqzvG5ssHl4xdNGA93JcZ0ZnS3iTHDXMHsBmXfSIuyC2xKU0rrI]

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
(https://www.routledge.com/Achieving-Product-Reliability-A-Key-to-Business-Success/Doganaksoy-Meeker-Hahn/p/book/9781138054004?srsltid=AfmBOoqzvG5ssHl4xdNGA93JcZ0ZnS3iTHDXMHsBmXfSIuyC2xKU0rrI)

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