Learn how to use designed experiments to achieve breakthrough improvements in process efficiency and quality. Discover Design of Experiments (DOE) methods that guide you in the optimal selection of inputs for experiments, and in the analysis of results for processes that have measurable inputs and outputs. Realize that process changes made as a result of statistically designed experiments typically result in more efficient processes.
This workshop includes a combination of classroom presentations and hands-on exercises.
Understand exactly what a DOE is and how it can be used most effectively;
Learn DOE terminology;
Identify important input factors and levels and analyze impact on the output;
Learn how to successfully plan a DOE;
Review step by step procedures for two types of experiments: General Linear Model (GLM) and 2k Factorial Design;
Analyze graphically the main effects and interactions of the experiment;
Develop ability to recommend action based on results;
Participate in hands-on classroom activity to enhance the classroom presentation.
DESIGNED FOR: Technical professionals, engineers, technicians, process improvement practitioners and technical managers, or anyone tasked with process or quality improvement.
This course is instructor-led.
There is no prerequisite for this course.
Click ‘Buy Now’ at top of the page. You will receive a confirmation email from Peak Performance with class details after payment. To schedule a group of individual participants, please email email@example.com and we will assist you in the registration process.
Flat Rate Price $2,075
Pricing is for up to 25 participants. Course delivery options are virtual instructor led or on site instructor led at your site or at Peak Performance's training center. To schedule a dedicated class, please email firstname.lastname@example.org and we will coordinate scheduling based on your preference.
If you have any questions regarding this course, please email the instructor at email@example.com or book a no-cost consultation by clicking on the link below.
Consultation with Operational Excellence Director