Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements, 9780470114940
Hardcover
Improve processes with data: Six Sigma, Lean Six Sigma, statistics.

Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements

$465.27

  • Hardcover

    832 pages

  • Release Date

    19 January 2010

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Summary

Master Statistics and Lean Six Sigma for Process Excellence

This hands-on book presents a complete understanding of Six Sigma and Lean Six Sigma through data analysis and statistical concepts.

In today’s business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner’s Guide to Statistics and Lean Six Sigma for Process Improvements

Book Details

ISBN-13:9780470114940
ISBN-10:0470114940
Author:Mikel J. Harry, Prem S. Mann, Ofelia C. De Hodgins, Richard L. Hulbert, Christopher J. Lacke
Publisher:John Wiley & Sons Inc
Imprint:John Wiley & Sons Inc
Format:Hardcover
Number of Pages:832
Edition:1st
Release Date:19 January 2010
Weight:1.56kg
Dimensions:257mm x 191mm x 46mm
What They're Saying

Critics Review

“The book would be of use for those working in the fields of engineering, business, physics, management and finance who are already familiar with the concepts of lean six sigma.” (QW, July 2010)

About The Author

Mikel J. Harry

Mikel J. Harry, PhD, is President and Chairman of the Board of the Six Sigma Management Institute. He is considered the principal architect of Six Sigma and one of the world’s leading authorities in the field. Dr. Harry also focuses his research on applications of experimental design, inferential statistics, and statistical process control.

Prem S. Mann, PhD, is Professor and Chair of the Department of Economics at Eastern Connecticut State University. Dr. Mann has published numerous articles in the areas of labor economics, microeconomics, and statistics. He is the author of Introductory Statistics, Seventh Edition.

Ofelia C. De Hodgins, MS, is a Six Sigma Global Master Black Belt. She has over twenty-five years of consulting experience in manufacturing and finance and has published more than thirty journal articles in the areas of physics, industrial engineering, statistics, and Statistical Process Control (SPC).

Richard L. Hulbert, MBA, is Vice President of Systems and Technology for the Bank of New York Mellon. He has more than thirty-five years of industry experience in the areas of network engineering, installation, implementation, network operations of technology infrastructure, distributed systems, market data, and government telecommunications.

Christopher J. Lacke, PhD, is Associate Professor of Mathematics at Rowan University. He has published numerous journal articles in his areas of research interest, which include decision analysis, Bayesian analysis, and operations research.

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