A Guide to Lean Six Sigma Management Skills

—Howard S Gitlow

Authored by Dr, Howard Gitlow, one of the most respected Six Sigma Master Black Belts, this well-organized volume demonstrates the implementation of quality improvements into the all areas of the workplace from the shop floor through a company’s executive offices. Illustrating his points with a number of case studies, the book provides a compelling argument as to why Six Sigma should be the preferred approach. It also explains how to build an organization that both encourages and values the input of quality teams, and details the steps they must take to implement and maintain lean initiatives.

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 in 2007, and a Visiting Professor at the Science University of Tokyo in 1990 where he studied with Dr. Noriaki Kano. He received his Ph.D. in Statistics (1974), M.B.A. (1972), and B.S. 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 has consulted and co-taught courses with Dr. W. Edwards Deming and Dr. Noriaki Kano (Science University of Tokyo). 

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 served on the editorial boards of four journals. His list of consulting clients includes universities, consulting firms, city governments, healthcare organizations, insurance companies, utilities, manufacturing organizations, and service organizations. Dr. Gitlow has testified in 24 legal cases involving the following issues: critiquing and developing sampling plans, discrimination (age, race, gender, country of origin, and ethnicity), anti-trust, game fixing, jury selection, and cost/benefit analysis.