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Dr. Howard S. Gitlow is Executive Director of the Institute for the Study of Quality, Director of the Master of Science degree in Management Science, and a Professor of Management Science, School of Business Administration, University of Miami, Coral Gables, Florida. He was a visiting professor at the Stern School of Business at New York University from 2007 through 2013, and a visiting professor at the Science University of Tokyo in 1990 where he studied with Dr. Noriaki Kano. He received his PhD in Statistics (1974), MBA (1972), and BS in Statistics (1969) from New York University. His areas of specialization are Six Sigma Management, Dr. Deming’s theory of management, Japanese Total Quality Control, and statistical quality control.
Dr. Gitlow is a Six Sigma Master Black Belt, a fellow of the American Society for Quality, and a member of the American Statistical Association. He has consulted on quality, productivity, and related matters with many organizations, including several Fortune 500 companies.
Dr. Gitlow has authored or coauthored 16 books, including America’s Research Universities: The Challenges Ahead, University Press of America (2011); A Guide to Lean Six Sigma, CRC Press (2009); Design for Six Sigma for Green Belts and Champions, Prentice-Hall, (2006); Six Sigma for Green Belts and Champions, Prentice-Hall, (2004); Quality Management: Tools and Methods for Improvement, 3rd edition, Richard. D. Irwin (2004); Quality Management Systems, CRC Press (2000), Total Quality Management in Action, Prentice-Hall, (1994); The Deming Guide to Quality and Competitive Position, Prentice-Hall (1987); Planning for Quality, Productivity, and Competitive Position, Dow Jones-Irwin (1990); and Stat City: Understanding Statistics Through Realistic Applications, 2nd edition, Richard D. Irwin (1987). He has published more than 60 academic articles in the areas of quality, statistics, management, and marketing.
While at the University of Miami, Dr. Gitlow has received awards for outstanding teaching, outstanding writing, and outstanding published research articles.