ENBIS: European Network for Business and Industrial Statistics
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Design of industrial experiments
16 September 2010
Design of Experiments: New Methods and How to Use Them
Instructors: Bradley Jones, SAS/JMP
Recently, there has been growing interest in design of experiments (DOX). Many companies 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
• Fractional factorial designs (review)
• Nonregular fractional factorial designs and their advantages
• Optimal designs
• Response surface designs with factor constraints
• Design for robust processes
• Split-plot experiments
Instructors: Bradley Jones, SAS/JMP
Recently, there has been growing interest in design of experiments (DOX). Many companies 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
• Fractional factorial designs (review)
• Nonregular fractional factorial designs and their advantages
• Optimal designs
• Response surface designs with factor constraints
• Design for robust processes
• Split-plot experiments