| Statistical Programs |
| College of Agricultural and Life Sciences | University of Idaho |
| Seminar Announcement |
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"Applied Statistics in Agriculture" |
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An Introduction to and Application of Six Sigma Innovation & Design
Presented By |
| Dr. Rick L. Edgeman |
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Department of Statistics University of Idaho |
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Tuesday, December 3:30 P. M. Ag. Science 62 |
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Six Sigma is highly (financially) bottom-line oriented and dominates the business culture at a number of highly
visible organizations including GE, Motorola, Honeywell (AlliedSignal), 3M, IKON, HSBC, American Express, Bank of
America, Rolls Royce, Lockheed-Martin, Bombardier, and Boeing.
It is difficult to classify Six Sigma from a disciplinary perspective since it integrates strategies and tools from such fields as statistics, quality management, and engineering. As such, Six Sigma provides a highly structured approach to acquisition, assessment, and application of customer, competitor, and enterprise intelligence for the purposes of product, system or enterprise innovation and design. There are two principle Six Sigma streams, one that focuses on significant improvement of or innovation in an existing product or process and second one aimed at design of new products or processes. The Six Sigma Innovation approach is referred to as DMAIC (Define-Measure-Analyze-Improve-Control) whereas the design approach is aptly referred to as Design for Six Sigma (DFSS) with its algorithm being DMADV (Define-Measure-Analyze-Design-Verify). This seminar is meant to be generally accessible to individuals from statistics, business, and engineering and provides a general overview of Six Sigma along with a discussion of a Six Sigma application at the Office of the Chief Technology Officer of the District of Columbia. All interested faculty, staff, and graduate students are invited to attend. |
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