|CEU's or PDH's||2.0 CEU's|
How does a problem that has plagued a company for years get solved in 45 days? Effective experimental design and analysis are critical to improving products and process, reducing waste, lowering costs, and improving productivity. This how-to workshop focuses on understanding the fundamental elements of experimental design and on the application of strategies. Numerous exercises are included and a statistical software package, Minitab®, is used for to help create designs, analyze the data, and interpret the results more efficiently and effectively. We will explore the design and collection of new data through designed experiments.
Many companies in both the R&D and manufacturing functions try to solve problems based on theory, opinions or poorly-designed experiments, often with too few factors. We show how to use such theories and opinion to help create and then analyze well-designed experiments with as many factors as needed, where we emphasize experiments from 3 to 15 factors.
Who Should Attend
Professionals from Quality, Manufacturing, Engineering, and R&D who plan, conduct, analyze, and interpret tests to evaluate the impact of key parameters on the performance of products and processes. Learn how to select the most effective design to answer important questions about products and processes – maximize results while minimizing time and effort.
Individual Registration: $895
Discounts (only one discount per person):
Group Registration (no other discounts apply) *
Price includes: continental breakfast, lunch, and afternoon break; all course materials.
Accommodations: Rooms may be reserved at the Radisson Hotel adjacent to the RIT campus. Information on how to make a reservation will be emailed to you.
Refunds will be issued for cancellations received and confirmed at least 10 business days prior to the program date. No refunds will be issued for cancellations received after that date. Please email firstname.lastname@example.org with any questions.
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