This course is targeted for individuals responsible for managing and improving product and/or process performance – scientists, process managers, engineering managers, product developers, and process engineers
Are you responsible for results oriented processes, but need a way to quantify data to measure results? Then this is the class for you! Interest in experiment design has recently grown, but few people have taken the next step to fully integrate practices to compliment overall company improvement objectives. Because experiments are an important and powerful means for developing and validating cause and effect relationships regarding product and process performance, it is critical that their “design” be effectively planned and appropriately interpreted. Our course focuses on this planning stage, rather than on the statistical side of design, in order to ensure that your design is on target for meaningful results.
The course covers the fundamentals of design of experiment and teaches a critical thinking approach to such design and analysis. Factors such as noise, randomization and replication are considered. JMP statistical software is used, but the course is designed so that your knowledge will transfer to any statistical software you currently utilize. By the end of the course, you should be able to devise experiments that yield verifiable learnings that can be converted into sustained improvements in products or processes.
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September 12 - 17
October 25 -29
Program Fee: $7,500*
* Program fee covers materials, meals, and lodging
Contact The Center for information.
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