Design of Experiments
When trying to solve a problem or improve a process, the optimal solution is not always found by varying just one factor at a time. By using a designed experiment approach, you can perform some carefully designed experiments under controlled conditions to identify the optimal solution. Designed experiments allow you to see how various factors interact with each other. This course will teach you how to set-up, run, and analyze two-level designed experiments.
Target Audience
Design engineers, Quality engineers and managers, Product and process engineers.
Prerequisites
At least one attendee from each company should have a laptop with the trial (or full) version of Minitab loaded on it. Licensing available from InSource.
Venues
Classroom, onsite.
Learning Objectives
Upon completion of this course, you will be able to:
- Understand full and fractional factorials
- How to identify which factors to vary
- How to establish the settings for each factor
- How to create and interpret main effects and interaction plots
- The three R’s (Replication, Repetition, and randomization) of DoE’s
- Participants will apply the concepts taught to an actual hands-on activity to optimize a simulated process.
Price
$3,950
Course Content
DOE Process
Full Factorial Designs
DOE Planning
Replication, Repetition, Randomization
Main Effects and Interaction Plots
DOE Interpretation
Fractional Factorial Designs
Modeling Analysis for DOEs
Blocking Designs
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