ENBIS: European Network for Business and Industrial Statistics
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ENBIS-8 in Athens
21 – 25 September 2008 Abstract submission: 14 March – 11 August 2008Design of Experiments: New Methods and How to Use Them
25 September 2008, 09:00 – 17:00Format: 1 day Post-conference Cost: 150 EUR Date: Thursday, September 25, 2008 Presenters: Douglas C. Montgomery, Regents’ Professor ASU, Bradley Jones, SAS/JMP Interest in design of experiments (DOX) has greatly increased in recent years. Many organizations have effectively integrated the design of experiments methodology into their overall operational improvement strategy, including those deploying six sigma and design for six sigma (DFSS). DOX is the most powerful of the six sigma tools, and its impact on product design and development, manufacturing, and production operations can be profound. Well-designed experiments are a powerful tool for developing and validating cause and effect relationships when evaluating and improving product and process performance. Designed experiments are the only efficient way to verify the impact of changes in product or process factors on actual performance. This course on DOX is unique in that it discusses new approaches to choosing a design and analyzing the resulting data that have only been recently available. These methods allow you to solve the most complex experimental design problems easily and directly using the same general approach. The course is taught by two internationally known experts in the field, one of whom is the author of the most widely-used textbook on the subject. The instructors have over 60 years of experience in teaching and using DOX in a wide variety of industrial end business settings. The course focuses on several major aspects of DOX, including both the practical and the statistical aspects, and interpretation of results. Course Topics • Factorials and fractional factorials • Irregular fractional factorial designs and their advantages • Optimal designs • Response surface designs • Mixture experiments • Robust design • Split-plot experiments
Abstract
- Submitted by
- Bradley Jones
- Authors
- Douglas C. Montgomery, Regents’ Professor ASU, Bradley Jones, SAS/JMP
- Abstract
- Format: 1 day Post-conference
Cost: 150 EUR
Date: Thursday, September 25, 2008
Presenters: Douglas C. Montgomery, Regents’ Professor ASU, Bradley Jones, SAS/JMP
Interest in design of experiments (DOX) has greatly increased in recent years. Many organizations have effectively integrated the design of experiments methodology into their overall operational improvement strategy, including those deploying six sigma and design for six sigma (DFSS). DOX is the most powerful of the six sigma tools, and its impact on product design and development, manufacturing, and production operations can be profound.
Well-designed experiments are a powerful tool for developing and validating cause and effect relationships when evaluating and improving product and process performance. Designed experiments are the only efficient way to verify the impact of changes in product or process factors on actual performance.
This course on DOX is unique in that it discusses new approaches to choosing a design and analyzing the resulting data that have only been recently available. These methods allow you to solve the most complex experimental design problems easily and directly using the same general approach.
The course is taught by two internationally known experts in the field, one of whom is the author of the most widely-used textbook on the subject. The instructors have over 60 years of experience in teaching and using DOX in a wide variety of industrial end business settings. The course focuses on several major aspects of DOX, including both the practical and the statistical aspects, and interpretation of results.
Course Topics
• Factorials and fractional factorials
• Irregular fractional factorial designs and their advantages
• Optimal designs
• Response surface designs
• Mixture experiments
• Robust design
• Split-plot experiments