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The next step in the evolution of the organizational quality field,
Lean Six Sigma (LSS) has come of age. However, many challenges to
using LSS in lieu of, in conjunction with, or integrated with other
quality initiatives remain. An update on the current focus of
quality management, Quality Management for Organizations Using Lean
Six Sigma Techniques covers the concepts and principles of Lean Six
Sigma and its origins in quality, total quality management (TQM),
and statistical process control (SPC), and then explores how it can
be integrated into manufacturing, logistics, and healthcare
operations. The book presents the background on quality and Lean
Six Sigma (LSS) techniques and tools, previous history of LSS in
manufacturing, and current applications of LSS in operations such
as logistics and healthcare. It provides a decision model for
choosing whether to use LSS or other quality initiatives, which
projects should be selected and prioritized, and what to do with
non-LSS projects. The author also details an integration model for
integrating and developing integrated LSS and other quality
initiatives, and common mathematical techniques that you can use
for performing LSS statistical calculations. He describes methods
to attain the different Six Sigma certifications, and closes with
discussion of future directions of Lean Six Sigma and quality. Case
studies illustrate the integration of LSS principles into other
quality initiatives, highlighting best practices as well as
successful and failed integrations. This guide gives you a balanced
description of the good, bad, and ugly in integrating LSS into
modern operations, giving you the understanding necessary to
immediately apply the concepts to your quality processes.
The next step in the evolution of the organizational quality field,
Lean Six Sigma (LSS) has come of age. However, many challenges to
using LSS in lieu of, in conjunction with, or integrated with other
quality initiatives remain. An update on the current focus of
quality management, Quality Management for Organizations Using Lean
Six Sigma Techniques covers the concepts and principles of Lean Six
Sigma and its origins in quality, total quality management (TQM),
and statistical process control (SPC), and then explores how it can
be integrated into manufacturing, logistics, and healthcare
operations. The book presents the background on quality and Lean
Six Sigma (LSS) techniques and tools, previous history of LSS in
manufacturing, and current applications of LSS in operations such
as logistics and healthcare. It provides a decision model for
choosing whether to use LSS or other quality initiatives, which
projects should be selected and prioritized, and what to do with
non-LSS projects. The author also details an integration model for
integrating and developing integrated LSS and other quality
initiatives, and common mathematical techniques that you can use
for performing LSS statistical calculations. He describes methods
to attain the different Six Sigma certifications, and closes with
discussion of future directions of Lean Six Sigma and quality. Case
studies illustrate the integration of LSS principles into other
quality initiatives, highlighting best practices as well as
successful and failed integrations. This guide gives you a balanced
description of the good, bad, and ugly in integrating LSS into
modern operations, giving you the understanding necessary to
immediately apply the concepts to your quality processes.
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Brain Informatics - International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings (Paperback, 1st ed. 2018)
Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Erick Jones, …
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R1,534
Discovery Miles 15 340
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the International
Conference on Brain Informatics, BI 2018, held in Arlington, TX,
USA, in December 2018. The 46 revised full papers were carefully
reviewed and selected from 53 submissions. The papers are grouped
thematically on cognitive and computational foundations of brain
science, human information processing systems, brain big data
analysis, curation and management, informatics paradigms for brain
and mental health research, brain-machine intelligence and
brain-inspired computing.
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