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Handbook of Multivariate Process Capability Indices (Hardcover)
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Handbook of Multivariate Process Capability Indices (Hardcover)
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Providing a single-valued assessment of the performance of a
process is often one of the greatest challenges for a quality
professional. Process Capability Indices (PCIs) precisely do this
job. For processes having a single measurable quality
characteristic, there is an ample number of PCIs, defined in
literature. The situation worsens for multivariate processes, i.e.,
where there is more than one correlated quality characteristic.
Since in most situations quality professionals face multiple
quality characteristics to be controlled through a process,
Multivariate Process Capability Indices (MPCIs) become the order of
the day. However, there is no book which addresses and explains
different MPCIs and their properties. The literature of
Multivariate Process Capability Indices (MPCIs) is not well
organized, in the sense that a thorough and systematic discussion
on the various MPCIs is hardly available in the literature.
Handbook of Multivariate Process Capability Indices provides an
extensive study of the MPCIs defined for various types of
specification regions. This book is intended to help quality
professionals to understand which MPCI should be used and in what
situation. For researchers in this field, the book provides a
thorough discussion about each of the MPCIs developed to date,
along with their statistical and analytical properties. Also, real
life examples are provided for almost all the MPCIs discussed in
the book. This helps both the researchers and the quality
professionals alike to have a better understanding of the MPCIs,
which otherwise become difficult to understand, since there is more
than one quality characteristic to be controlled at a time.
Features: A complete guide for quality professionals on the usage
of different MPCIs. A step by step discussion on multivariate
process capability analysis, starting from a brief discussion on
univariate indices. A single source for all kinds of MPCIs
developed so far. Comprehensive analysis of the MPCIs, including
analysis of real-life data. References provided at the end of each
chapter encompass the entire literature available on the respective
topic. Interpretation of the MPCIs and development of threshold
values of many MPCIs are also included. This reference book is
aimed at the post graduate students in Industrial Statistics. It
will also serve researchers working in the field of Industrial
Statistics, as well as practitioners requiring thorough guidance
regarding selection of an appropriate MPCI suitable for the problem
at hand.
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