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You may also register by email:
tc@simons-white.com
 

COURSE DURATION

HOURS: 8 A.M. - 4 P.M.
LENGTH: 3 Days
 

COURSE OBJECTIVES

Participants will gain an understanding of statistics as applied to Design of Experiments and will know how to set up and conduct an experiment.
 

WHO SHOULD ATTEND

Process Engineers, Product Engineers, Quality (All Types).

Design of Experiments (DOE) Taguchi

Experiments are used in manufacturing to design robust products and processes. Designed experiments rely heavily on statistical methods to determine variation within trials and between trials. Variation is the key to determining if two or more trials show significantly different results.

COURSE CONTENT

  • Design of Experiments (DOE) Taguchi

Introduction

  • Why Experiment/Alternatives to Experimentation
  • Concept of Variation
  • Taguchi Philosophy
  • Activity

Planning

  • Brainstorming/Cause & Effect Diagram
  • Selecting Factors and Levels
  • Summary & Activity: Planning the Experiment

Design

  • Orthogonal Arrays
  • Linear Graphs
  • Types of Orthogonal Arrays
  • Assigning Factors to the Orthogonal Array
  • Activity: Designing the Experiment

Execution

  • Measurement Techniques
  • Organizing Experimental Runs
  • Collecting Samples
  • Activity: Running the Experiment & Collecting Data

Analysis

  • Response Tables
    -Calculating Main Effects
    -Interpreting Interaction Effects
  • ANOVA
    -Calculations, Tables, and Interpretations
  • Activity: Analyzing the Experiments

Implementation

  • New Parameters
  • Controls
  • Continuous Improvement

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