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| Welcome to
MiC Quality Six Sigma Resources |
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Glen
Netherwood
MiC Quality
Online Learning |
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| Six
Sigma Books |
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Implementing
Six Sigma, Smarter Solutions Using Statistical
Methods
Forrest W, Breyfogle III; John Wiley &
Sons
ISBN 0-471-29659-7
This text emphasizes the quantitative
aspects of six sigma including basic statistical
methods, SPC, MSA and DOE. It provides comprehensive
coverage of the methods, although the coverage
of most areas is too brief for self study
by the novice. Its main use is as a reference
and to fill in gaps in one's knowledge. It
should certainly be on the bookshelf of any
Six Sigma Black Belt.
Highly recommended,
particularly for trainers or candidates for
the ASQ CSSBB |
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The
Six Sigma Handbook
Thomas Pyzdek; McGraw Hill
ISBN 0-07-141015-5
This text includes thorough coverage
of the DMAIC methodology and six sigma deployment.
It provides a balanced coverage that is
closely aligned to the ASQ CSSBB syllabus.
The answer to most of the questions in the
ASQ CSSBB exam would be in the book somewhere,
and in a fairly specific form. A solid book
that should stand on your bookshelf next
to Breyfogle.
Highly recommended, particularly
for trainers or candidates for the ASQ CSSBB
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The
Six Sigma Way Team Fieldbook
Pande, Neuman, Cavanagh; McGraw Hill
ISBN 0-07-137314-4
The Six Sigma Way Team Fieldbook is
a good guide at the Green Belt level. It
does focus on team processes and ways of
presenting data graphically. It does not
include Black Belt level statistical methods
(e.g. DOE), but it does discuss where, and
how they would be applied.
The book is well written and practical,
it deserves a place on the Six Sigma practitioner's
bookshelf, and it would be a good idea to
give a copy to everybody on a process improvement
team.
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| Design
of Experiments (DOE) |
[Top] |
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Design
and Analysis of Experiments
Montgomery; Wiley
ISBN 0-471-48735-X
This is the most authoritative text
on the subject. It is extremely thorough,
but is aimed at a high level. You will need
a good grasp of mathematics and statistics
to follow it properly. If you are serious
about the design of experiments then you need
this book.
Obligatory for the serious
professional. |
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Understanding
Industrial Designed Experiments
Schmidt & Launsby; Air Academy Press
ISBN 1-880156-03-2
A very accessible book that explains
the Design of Experiments in an understandable
way. It places the material in the context
of process improvement, rather than in an
academic context. About half the book is devoted
to the theory, and the rest to case studies.
Highly recommended, very relevant to practitioners. |
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| Statistical
Process Control (SPC) |
[Top] |
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Introduction
to Statistical Quality Control
Montgomery; Wiley
This is probably the most respected
and authoritative text in the field. It covers
the same material as several undergraduate
textbooks. The focus is on Control Charts,
but it also covers Designed Experiments and
Reliability. Montgomery has a clear and incisive
writing style. Although this is an excellent
work of reference, it is a fairly advanced
text.
An excellent reference, obligatory
for the serious professional. |
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Fundamentals
of Quality Control and Improvement
Mitra; Prentice Hall
ISBN 0-13-645086-5
This is another respected undergraduate
text and covers much the same ground as Montgomery.
Mitra is not as incisive or authoritative
as Montgomery, but the text is written at
a slightly lower level and is probably easier
to understand. The downside is that the text
suffers from poor proof-reading, particularly
in the examples, and this can be confusing.
Not as authoritative as Montgomery but
easier to understand. |
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| Process
Improvement in Healthcare |
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Improving
Healthcare with Control Charts
Carey, Stake
Carey's books are essential for anybody
involved in healthcare, or any related profession.
They do not cover the theory of SPC in any
depth, but focus on practical implementation.
They contain many case studies and examples,
and do an excellent job of describing how
to interpret control charts. Carey is a clear
writer with an incisive mind.
Essential
for practitioners in healthcare. |
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Measuring
Quality Improvement in Healthcare
Carey, LLoyd
There is considerable overlap between
this and Carey's later book "Improving
Healthcare with Control Charts". The
later book is more comprehensive, and Carey
Carey seems to be more confident with the
subject matter. I'd recommend both but if
you are only buying one then Improving Healthcare
with Control Charts is better.
Excellent,
but Improving Healthcare with Control Charts
is better. |
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Quality
Health Care
LLoyd
This text concentrates on
selecting performance indicators and collecting,
interpreting and presenting the data. If
fits well with the text Improving Healthcare
with Control Charts by Carey and Stake.
Indeed Lloyd makes the point that he observed
that people grasped control charting quickly,
but floundered with the apparently simpler
tasks of creating data collection plans
and creating 'dashboards'. The book includes
many case studies.
If you are in healthcare you must
have both this and the Carey and Stake text.
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| Statistics |
[Top] |
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Probability
and Statistics for Engineering and the Sciences
Devore; Brooks/Cole
ISBN 0-53-437281-3
This book is designed as a text
book to be used in a typical college course,
and covers much the same material as many
other similar texts. I find that this one
is clearly written and rather more practical
than most, and the examples are relevant
and varied. One of the problems with many
statistics texts is that, because the notation
and approach is built up throughout the
book, it is difficult to understand an isolated
topic. Although this book does not avoid
that completely, it is not as frustrating
as many.
A good choice for practitioners. |
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Basic
Statistics, Tools for Continuous Improvement
Kiemele, Schmidt, Berdine; Air
Academy Press
ISBN 1-880156-06-7
An excellent book. It is clearly
written and written from a practical perspective.
It is unusual, and valuable, in that it aimed
at the practitioner, rather than the undergraduate.
Despite the title the focus is on the tools
for continuous improvement, rather than on
statistics. It includes the Design of Experiments,
Statistical Process Control, Reliability and
Quality Function Deployment. It contains extensive
case studies.
Highly recommended, very
relevant to practitioners. |
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