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

Mikel Harry, Prem S. Mann, Ofelia C. De Hodgins, Richard L. Hulbert, Christopher J. Lacke (Autoren)

eBook Download: EPUB

2011 | 1. Auflage
832 Seiten
John Wiley & Sons (Verlag)
978-1-118-21021-5 (ISBN)

Infos

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 provides a balanced approach to
quantitative and qualitative statistics using Six Sigma and Lean
Six Sigma methodologies.

Emphasizing applications and the implementation of data analyses
as they relate to this strategy for business management, this book
introduces readers to the concepts and techniques for solving
problems and improving managerial processes using Six Sigma and
Lean Six Sigma. Written by knowledgeable professionals working in
the field today, the book offers thorough coverage of the
statistical topics related to effective Six Sigma and Lean Six
Sigma practices, including:

* Discrete random variables and continuous random variables

* Sampling distributions

* Estimation and hypothesis tests

* Chi-square tests

* Analysis of variance

* Linear and multiple regression

* Measurement analysis

* Survey methods and sampling techniques

The authors provide numerous opportunities for readers to test
their understanding of the presented material, as the real data
sets, which are incorporated into the treatment of each topic, can
be easily worked with using Microsoft Office Excel, Minitab,
MindPro, or Oracle's Crystal Ball software packages. Examples of
successful, complete Six Sigma and Lean Six Sigma projects are
supplied in many chapters along with extensive exercises that range
in level of complexity. The book is accompanied by an extensive FTP
site that features manuals for working with the discussed software
packages along with additional exercises and data sets. In
addition, numerous screenshots and figures guide readers through
the functional and visual methods of learning Six Sigma and Lean
Six Sigma.

Practitioner's Guide to Statistics and Lean Six Sigma for
Process Improvements is an excellent book for courses on Six
Sigma and statistical quality control at the upper-undergraduate
and graduate levels. It is also a valuable reference for
professionals in the fields of engineering, business, physics,
management, and finance.

Autor

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 (Wiley). 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.

Rezensionen

"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)

Produkt-Details

• Erscheint lt. Verlag: 20.9.2011
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
• Schlagworte: Business & Management • Industrial Engineering • Industrial Engineering / Quality Control • Industrielle Verfahrenstechnik • Qualität, Produktivität u. Zuverlässigkeit • Qualitätsmanagement • Qualitätssicherung i. d. Industriellen Verfahrenstechnik • Qualität, Produktivität u. Zuverlässigkeit • Qualitätsmanagement • Qualitätssicherung i. d. Industriellen Verfahrenstechnik • Quality management • Quality, Productivity & Reliability • Six Sigma • Statistics • Statistik • Wirtschaft u. Management
• ISBN-10: 1-118-21021-2 / 1118210212
• ISBN-13: 978-1-118-21021-5 / 9781118210215