Founder and Chief Executive Officer
As a statistician working in process control and improvement during the Cold War, Charles Holland, PhD, began developing the MVT ® Process more extensively in the production and research development of nuclear weapons, as well as in training effectiveness, maintenance, product certification, and laboratory service.
His philosophy focused on harvesting the minds and creativity of the workforce in order to develop innovative ideas to improve the organization.
In 1982, at the urging of quality guru W. Edwards Deming, Dr. Holland launched QualPro, an MVT ® training and consulting firm, and began to build his business by traveling around the country to offer training seminars, teaching the fundamentals of the MVT ® Process. As QualPro developed into a consulting firm with an ever-growing client base, those clients recorded more and more process improvement successes. QualPro initially worked in manufacturing operations but soon branched out to service, logistics, transportation, and other industries.
Over the last two decades, Dr. Holland has led QualPro in implementing the MVT Process at over 1,000 companies, including many of the Fortune 500, and his success has been featured in various publications including Business Week, Forbes, Industry Week, and The Wall Street Journal.
In April 2005, Dr. Holland published Breakthrough Business Results with MVT: A Fast, Cost-Free "Secret Weapon" for Boosting Sales, Cutting Expenses, and Improving Any Business Process. The book recounts Dr. Holland's journey from developing multivariable testing methods to building QualPro into the leading MVT consultancy in the world, with case study examples to illustrate the value and impact of the MVT Process.
Dr. Holland earned his Bachelor of Science degree from Lincoln Memorial University, where he currently serves on the Board of Trustees. He graduated from Florida State University with his master's degree in statistics and from the University of Tennessee with his Ph.D. in management science with a major emphasis in statistics.
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