Design of Experiments (DOE)

  • Delivery Option: Public & On-Site
  • Subject Category: Core Tools
  • Cost: $845
  • Number of Days: 2

Course Summary

QC Training Services’s Design of Experiments (DOE) class will detail a proven way to identify and understand how process factors affect output. With this information, you can develop the optimum balance between factors and achieve major improvements in quality, cost, and productivity. Today’s highly competitive environment leaves no time for trial and error.

Testimonials

“Lots of useful information. We need to develop a plan in the very near future to get some DOE’s going to utilize what we’ve just learned.” – Jessica, Michigan

“Excellent training and a strong tool to make improvements.” – Pablo, Texas

“This course provided valuable tools necessary in reducing variation and addressing process issues. The instructor was very knowledgeable and understands how to keep the class engaged and enthusiastic about the course. Class exercises using the props made the course interesting and relatable.” – Ryan, California

Target Audience

Anyone responsible for improving processes and products, including managers, engineers, supervisors, quality assurance personnel, technicians, and machine operators.

Prerequisites

All attendees are assumed to have a working knowledge of basic SPC.  It is helpful if the participants have some basic math skill like calculating Mean and Standard Deviation.  They should have a very basic knowledge of Excel.  They should be interested in learning a powerful technique (Design of Experiments) that will help them find the root cause of a process or product problem.  We will also use Mini Tab in the training but it is not a requirement to know Mini Tab.  We will learn how to use Mini Tab to set-up, run, and analyze a Design of Experiment in the training.

 

 

Course Objectives

This course will take the mystery out of DOE. You will understand the DOE essentials; learn how to plan, set up, conduct, and analyze a two-level factorial experiment; work with fractional factorial designs; identify the variables that have the greatest impact on product-level quality; and build on test results to continuously improve all product stages.

Benefits

Today’s highly competitive environment leaves no time for trial and error. DOE (Design of Experiments) is a proven way to identify and understand how process factors affect output. With this information, you can develop the optimum balance between factors and achieve major improvements in quality, cost, and productivity.

Agenda

You will learn the basics in this two-day class: perform two-way and paired comparison tests, use simple graphical techniques to analyze data, and build and check models. This will be done through demonstration of a software package, setting up your own DOE project, and an in-class exercise (additional time may be required to train detailed software and analyses.)
Overview of Design of Experiments
  • Basic DOE Tools
    • One-Factor-at-a-Time
    • 2 Factor / 2 Level
    • Multi-Factor / 2 level
    • Graphical Analysis (main effects & interactions)
    • Significant Effects
    • Full Factorial
    • Fractional Factorial
  • DOE Software Skills using Minitab 17
    • Simulated exercises for DOE
    • DOE setup & analysis tools
    • DOE equations