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Design of Experiments (DOE)


Format On-campus
Cost $895
Duration 3 days
Availability Summer, on-demand
Prerequisites None
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.

Course Topics

  • One-factor-at-a-time experiments: what your competitors want you to use
  • The importance of a strategy of experimentation
  • Summarizing results in experiments: main effects and interactions
  • Two-level designs for 3-5 factors: the 2k designs
  • Variation when conditions are held constant: a review
  • The importance of randomizing and blocking in experiments
  • Handling variation naturally in two-level designs
  • The value of non-replicated experiments
  • How to select the correct number of runs for an experiment
  • The role of center points and how to use them correctly
  • Fractional factorial (2k–p) designs: studying 5-15 factors, or more efficiently
  • The use of fold-over designs to gain more information
  • Introduction to response-surface designs
  • Case studies, simulations, numerous exercises
  • A statistical software package, Minitab®, helps create designs and interpret the results

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.


Please contact Margi Ochs at or 585-475-6136 for future dates.


Individual Registration: $895

Discounts (only one discount per person):

  • Members of MedTech or GRQC: $806 (10%)
  • RIT Alumni and Employees: $716 (20%)
  • Full-Time College Students (all institutions): $716 (20% discount).  Contact Susan Chapman at or 585-475-6990 for a coupon code.

Group Registration (no other discounts apply) *

  • 2 people: $806 per person (10%).  RIT Alumni and Employees - please register as 2 individuals
  • 3+ people: $716 per person (20%)

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.

Cancellation Policy
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 with any questions.

* Contact us to discuss package pricing and annual contracts - partner with us!


Please contact Margi Ochs at or 585-475-6136 for future dates.