Design of Experiments in Minitab

Upcoming dates (1)

Available online anytime

Online

Course Overview

This course builds on understanding of Design of Experiments (DOE) from course RA01846 Introduction to Design of Experiments (or equivalent foundational background) through the analysis of example problems using Minitab software.

Specifically, students will be guided through the Minitab analysis of two problems, one a full-factorial design and the other a fractional-factorial design, including setup, analysis, refinement, model verification, graphing, and optimization.

 

Course Goals:

 

  • Use Minitab to analyze two-level factorial experiments (full and fractional)
  • Use Minitab to calculate and interpret the effects of process variables on process performance
  • Use Minitab to determine an efficient regression (prediction) model for process performance
  • Use Minitab to generate graphs of the experimental results

Course Outline

Module 1: Factorial Design of Experiments in Minitab

Module 2: Fractional Factorial Design of Experiments in Minitab

Instructor

Terry Mann

Terry Mann is a senior lecturer with the UW-Madison College of Engineering, and has an active consulting practice assisting companies in the implementation of ISO quality and environmental management system requirements. He is an Exemplar Global Principal QMS Auditor, EMS Auditor, Medical Device Auditor and Senior ASQ Certified Quality Auditor. Terry teaches courses on quality engineering topics, including ISO Standards, Six Sigma, operations management, statistical process control, design of experiments, cellular manufacturing, and facilities layout. He earned his Master of Science degree in Manufacturing Systems Engineering from the UW–Madison.

Upcoming dates (1)

Program Director

Susan Ottmann

Contact Us

Create a custom learning experience

We can deliver this course as an on-site learning experience tailored to your organization’s specific training needs.