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This book is designed to assist industrial engineers and production
managers in developing procedural and methodological engineering
tools to meet industrial standards and mitigate engineering and
production challenges. It offers practitioners expert guidance on
how to implement adequate statistical process control (SPC), which
takes account of the capability to ensure a stable process and then
regulate if variations take place due to variables other than a
random variation. Powerful engineering models of new product
introduction (NPI), continuous improvement (CI), and the eight
disciplines (8D) model of problem solving techniques are explained.
The final three chapters introduce new methodological models in
operations research (OR) and their applications in engineering,
including the hyper-hybrid coordination for process effectiveness
and production efficiency, and the Kraljic-Tesfay portfolio matrix
of industrial buying.
This book is designed to assist industrial engineers and production
managers in developing procedural and methodological engineering
tools to meet industrial standards and mitigate engineering and
production challenges. It offers practitioners expert guidance on
how to implement adequate statistical process control (SPC), which
takes account of the capability to ensure a stable process and then
regulate if variations take place due to variables other than a
random variation. Powerful engineering models of new product
introduction (NPI), continuous improvement (CI), and the eight
disciplines (8D) model of problem solving techniques are explained.
The final three chapters introduce new methodological models in
operations research (OR) and their applications in engineering,
including the hyper-hybrid coordination for process effectiveness
and production efficiency, and the Kraljic-Tesfay portfolio matrix
of industrial buying.
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