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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.
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.
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