World Conference Calendar

32875 Conferences

The Strategy of Experimentation

Added by Compliance4all on 2014-11-24

Conference Dates:

Start Date Start Date: 2014-12-09
Last Date Last Day: 2014-12-09
Deadline for abstracts/proposals Deadline for abstracts/proposals: 2014-12-08

Conference Contact Info:

Contact Person Contact Person: Event Co-odinator
Email Email: support@compliance4All.com
Address Address: Online Event, Fremont, California, 94539, United States
Phone Tel: +1-800-447-9407

Conference Description:

Overview:
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.

We discuss requirements essential to systematic experimentation and techniques for sequential experimentation essential to build knowledge leading rapidly to the successful completion of organizational goals. Details of screening designs for determining the most influential among many, many factors, characterizing designs for the identification of interactions and optimizing designs are discussed, with examples given. We also touch on mixture designs for formulations and other commonly employed designs.

Why should you Attend:

The Strategy of Experimentation offers a clear path to accelerated launch of successful products and to process improvement. It is a data driven approach to R&D that avoids dead ends, disappointment and wasted precious R&D resources. The basic principles are simple and can be easily understood without knowledge of statistics.
Areas Covered in the Session:

Motivation for the Strategy of Experimentation
The Hidden Laboratory
Statistical Thinking
The Iterative Nature of Experimentation
Data Driven Decisions
Simple Factorial Designs
Characterizing Designs
Optimizing Designs
Mixture Design
Who Will Benefit:

R&D VPs, Directors, Managers and Technologists
Engineering professionals
Marketing VPs, Directors and Managers
Market Research Directors

Speaker Profile
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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