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Improving the quality of products and manufacturing processes at
low cost is an economic and technological challenge to industrial
engineers and managers alike. In today's business world, the
implementation of experimental design techniques often falls short
of the mark due to a lack of statistical knowledge on the part of
engineers and managers in their analyses of manufacturing process
quality problems. This timely book aims to fill this gap in the
statistical knowledge required by engineers to solve manufacturing
quality problems by using Taguchi experimental design methodology.
The book increases awareness of strategic methodology through
real-life case studies, providing valuable information for both
academics and professionals with no prior knowledge of the theory
of probability and statistics. Experimental Quality: Provides a
unique framework to help engineers and managers address quality
problems and use strategic design methodology. Offers detailed case
studies illustrating the implementation of experimental design
theory. Is easily accessible without prior knowledge or
understanding of probability and statistics. This book provides an
excellent resource for both academic and industrial environments,
and will prove invaluable to practising industrial engineers,
quality engineers and engineering managers from all disciplines.
Improving the quality of products and manufacturing processes at
low cost is an economic and technological challenge to industrial
engineers and managers alike. In today's business world, the
implementation of experimental design techniques often falls short
of the mark due to a lack of statistical knowledge on the part of
engineers and managers in their analyses of manufacturing process
quality problems. This timely book aims to fill this gap in the
statistical knowledge required by engineers to solve manufacturing
quality problems by using Taguchi experimental design methodology.
The book increases awareness of strategic methodology through
real-life case studies, providing valuable information for both
academics and professionals with no prior knowledge of the theory
of probability and statistics. Experimental Quality: Provides a
unique framework to help engineers and managers address quality
problems and use strategic design methodology. Offers detailed case
studies illustrating the implementation of experimental design
theory. Is easily accessible without prior knowledge or
understanding of probability and statistics. This book provides an
excellent resource for both academic and industrial environments,
and will prove invaluable to practising industrial engineers,
quality engineers and engineering managers from all disciplines.
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