BASIC DESIGN OF EXPERIMENTS
Taguchi Techniques with a Blend of Classical Methods

THIS THREE-DAY COURSE IS DESIGNED TO ASSIST THE STUDENT IN BECOMING MANY TIMES MORE EFFICIENT AND EFFECTIVE IN THE EXPERIMENTATION PROCESS.

 DELIVERABLES:

  • The knowledge to set-up, conduct, and analyze a designed experiment in a team

  • A common language and strategy to experiment

  • A step-by-step cookbook approach, complete with forms, to guide the process

 PREREQUISITES:

  • The desire to design and develop ROBUST products and processes

  • The desire to resolve recurring problems that never seem to go away

  • The desire to resolve complex problems that involve many factors

  • Basic math skills

 TARGET MARKET:

  • Engineers - Design, Manufacturing, and Quality

  • Managers and Supervisors - Technical and Non-Technical

  • Technicians and Machinists

  • Marketing personnel

 TOPICS COVERED:

  • Control and Noise Factor and Level Selection

  • Interactions

  • Orthogonal Array Development and Selection

  • Proper Experimental Conduct

  • Data Analysis and Plotting

  • Parameter Design (3rd Day)

  • Experimenting with 3 and 4 Level Factors (3rd Day)

 OPTIONS:

  • Customization of course to use your examples or specific exercises

  • Presentation of actual Designed Experiments performed by participants, with feedback, and Awarding of Diplomas about one month after the class

  • Two or three day versions        

TWO-DAY AGENDA

I. Introduction

Total Development Process
Benefits of DOE
Taguchi’s Background
Design of Experiments Defined

 II. Checklist

 III. Brief Overview

Experimental Set-Up
Orthogonal Array
Analysis of Results; Conclusions

IV. The DOE Process . . . The Screening Experiment

1. Problem Statement
2. Objectives
3. Measurement Method
             Pendulum Experiment Set-Up
4. Control Factors and Levels
6. Noise Factors and Levels
7. Degrees of Freedom
8. Select Array
12. Conduct the Experiment
13. Analyze the Data
             Pendulum Experiment

V. The DOE Process . . . Analyzing Interactions

5. Interactions
9. Required Linear Graph
10. Modified Standard Linear Graph
11. Assign Factors and Interactions to an Array
                 Preferred Columns

VI. Determining Sample Sizes

VII. Motorized Vehicle Experiment   

             
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