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 Speaker Profile

Lynne Hare

Owner & Consultant, Statistical Strategies, LLC

Lynne Hare is a consulting statistician emphasizing business process improvement in R&D, Manufacturing and other strategic functions. Serving a large client base, he has helped bring about culture change in Research by accelerating speed to the successful launch of new products and processes and in Manufacturing through the reduction of process variation. His former positions include the Director of Applied Statistics at Kraft Foods, Chief of Statistical Engineering at the National Institute of Standards and Technology, Director of Technical Services at T.J. Lipton (a Unilever company), Manager of Statistical Applications there as well, Statistics Group Leader at Hunt-Wesson Foods and Visiting Professor at Rutgers University.

Lynne’s technical expertise includes experimental strategies and design of experiments for Research as well as quality and productivity improvement for Manufacturing. He holds M.S. and Ph.D. degrees from Rutgers University and an A.B. in mathematics from The Colorado College. Lynne is a Fellow of the American Statistical Association and former chairman of its Section on Quality and Productivity. He is also a Fellow of the American Society for Quality and former chairman of its Statistics Division. The ASQ has awarded him the William G. Hunter and Ellis R. Ott Awards for excellence in quality management. Kraft Foods presented him with the Technology Leadership Award for career accomplishments. He writes a column for Quality Progress Magazine and has numerous publications in technical journals.


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Reducing Variation in Manufacturing Processes

When manufacturing variation is reduced, two good things happen. One is that the consumer’s second product experience is more like the first. This builds consumer confidence and, therefore, repeat sales. The second is fewer production line stoppages and a process flow that is more laminar, less turbulent. Both of these outcomes of Process Variation Reduction (PVR) enhance the financial bottom line.

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The Strategy of Experimentation

Research resources are too scarce to be squandered going down blind alleys and coming up empty handed at project end. We can no longer afford to play hunches or to rely on so called experts, whose opinions all differ, to guide research. Nor can we rely on the gross inefficiencies of old-fashioned one-factor-at-a-time experimentation to guide decisions. Instead, R&D must proceed systematically and with a goal of using unbiased data to guide decisions, following an overall strategy guided by statistical thinking and the scientific method.

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Speakers
  •   Recorded
  •   View Anytime
  •     ¤10.00
Reducing Variation in Manufacturing Processes

When manufacturing variation is reduced, two good things happen. One is that the consumer’s second product experience is more like the first. This builds consumer confidence and, therefore, repeat sales. The second is fewer production line stoppages and a process flow that is more laminar, less turbulent. Both of these outcomes of Process Variation Reduction (PVR) enhance the financial bottom line.

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