Industrial Design of Experiments

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# Industrial Design of Experiments - PowerPoint PPT Presentation

Industrial Design of Experiments. STAT 321 Winona State University. Day One – Let’s get started!. Course Objectives · outline the basic steps of an industrial experiment; · design experiments using the concepts of randomization and blocking;

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### Industrial Design of Experiments

STAT 321

Winona State University

Day One – Let’s get started!

Course Objectives

• ·outline the basic steps of an industrial experiment;
• ·design experiments using the concepts of randomization and blocking;
• ·design and analyze two level factorial and fractional factorial designs;
• ·contrast Taguchi's methods with classical methods;
• ·recognize examples of poor statistical statements and graphics.
Design of Experiments - Definition:
• A scientific method for designing the collection of information about a phenomenon or process, and then analyzing the information to learn about relations of potentially important variables. Economy and efficiency of data collection have high priorities.
• ·Process Optimization and Problem Solving with Least Resources for Most Information.
• ·Allows Decision Making with Defined Risks.
• ·Customer Requirements --> Process Specifications by Characterizing Relationships
• ·Determine effects of variables, interactions, and a math model
• ·DOE Is a Prevention Tool for Huge Leverage Early in Design
Steps to a Good Experiment
• Define the objective of the experiment.
• Choose the right people for the team.
• Identify prior knowledge, then important factors and responses to be studied.
• Determine the measurement system.
• Design the matrix and data collection responsibilities for the experiment.
• Conduct the experiment.
• Analyze experiment results and draw conclusions.
• Verify the findings.
• Report and implement the results.
Current Industrial Usage

Six Sigma Methods

• Industry is training engineers, decision-makers, process owners in quality improvement methods
Topics in Six Sigma Black Belt training (20 full days):
• Define & Measure Phase - Week 1
• Flow chart total process
• Create cause & effect diagram
• Control chart project metrics
• Estimate capability/ performance of project metrics
• Create Pareto charts
• Conduct measurement system analysis
Six Sigma TrainingAnalysis Phase - Week 2
• Create multi-vari charts
• Determine confidence intervals for key metrics
• Conduct hypothesis tests ***
• Determine variance components
• Assess correlation of variables
• Conduct regression analysis ***
• Conduct analysis of variance
Six Sigma Training Improvement Phase - Week 3
• Select designed experiment (DoE) factors and levels
• Plan DoE execution
• Conduct DoE
• Implement variability reduction designs & assessments
• Consider response surface methods
Control Phase - Week 4 Six Sigma Training
• Determine control plan
• Implement control charts
• Consider short run control charts
• Consider CUSUM and moving average control charts
• Consider pre-control
• Mistake-proof processes
To Receive Six Sigma Black Belt
• 4 weeks of training
• Plus, save your company \$100K on an improvement project