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Interested in exploring the thinking and philosophies that have contributed
to the development of
Integrated Process Management?
Use the links below to order our favorite books from Amazon.com.
Click on the cover picture or title to read more about the
selection, or click
"Buy from Amazon.com"
to add the book directly to your Amazon.com shopping cart.
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Factory
Physics
Wallace J. Hopp
This technical book is a scientific
examination of what makes factories
work. It includes a history and analysis
of improvement strategies from the last
25 years. Used as a text book at some
universities, this is a must-read for
process improvement resources. |
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The Tipping Point
Malcolm Gladwell
Using a social systems context, this book
is full of insights for leaders accountable for organizational
change initiatives.
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The Goal
Eliyahu M. Goldratt
A must-read that directly
challenges traditional ways of thinking about throughput,
cost, and inventory through the introduction of the principles
of the Theory of Constraints. |
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Visual Systems
Gwendolyn Galsworth
An excellent integration of 5S and Visual
Systems, this book is full of great examples of
visual systems. It provides a clear and simple guiding
methodology.
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Apollo
Root Cause Analysis
Dean L. Gano
A simple and straightforward method
for root cause analysis of event-based
problems. A great thinking skill for
all levels in an organization!
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Good
to Great
Jim Collins
Leadership lessons from companies that
have made the leap from good to great.
Attention is given to the importance
of well-designed performance measures
in providing clear and consistent direction. |
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New Rational Manager
Charles Higgins Kepner
A classic! A primer on four proven
thinking skills for managers. They
are Situation Appraisal,
Problem Analysis, Decision
Analysis, and Potential Problem
Analysis. The fundamentals never
change.
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Understanding Variation
Donald J. Wheeler
What being "data-driven" means
and why and how to get there. This book
builds a case for why statistical literacy
is required for managers. It teaches how
to get the most out of data.
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