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The Essentials of 2-Level Design of Experiments Part I: The Essentials of Full Factorial Designs Developed by Don Edwards, John Grego and James Lynch.

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Presentation on theme: "The Essentials of 2-Level Design of Experiments Part I: The Essentials of Full Factorial Designs Developed by Don Edwards, John Grego and James Lynch."— Presentation transcript:

1 The Essentials of 2-Level Design of Experiments Part I: The Essentials of Full Factorial Designs
Developed by Don Edwards, John Grego and James Lynch Center for Reliability and Quality Sciences Department of Statistics University of South Carolina

2 Part I.3 The Essentials of 2-Cubed Designs
Methodology Cube Plots Estimating Main Effects Estimating Interactions (Interaction Tables and Graphs) Statistical Significance: When is an Effect “Real”? An Example With Interactions A U-Do-It Case Study Replication Rope Pull Exercise

3 U-Do-It Case Study Ball Bearing Example*
Purpose of the Design Test (Under Accelerated Conditions) New Bearing Prototypes for Use in a Specific Application for Which the Current Design’s Performance Was “Unsatisfactory”. Response of Interest: y - Bearing Life (h). Design Factors: Factor Levels (Lo,Hi) A: Cage Design Current, New B: Outer Ring Osculation Current, New C: Inner Ring Heat Treatment. Current, New The 8 Standard Runs of the 23 Design Were Randomly Ordered, and Each Prototype Bearing Tested. *Empirical Basis for this data was motivated by C. Hellstrand’s article “The necessity of modern quality improvement and some experiences with implications in the manufacture of ball bearings (1989, Philos. Trans. Royal Society London, A 327, )

4 U-Do-It Case Study Ball Bearing Example - A Typical Ball Bearing
Made available in STAT 506, but not used for lecture; handout for in-class exercise.

5 U-Do-It Case Study Ball Bearing Example - Operator Report Form

6 U-Do-It Case Study Ball Bearing Example - Exercise Instructions
Put the results of the experiment in standard order and enter the data into a cube plot (in Minitab—see handout) Estimate the factor effects (in Minitab) Construct and interpret a normal probability plot of the factor effects (in Minitab)

7 U-Do-It Case Study Ball Bearing Example - Exercise Instructions (cont)
Construct BC interaction graph in Minitab; use table and graph to interpret BC interaction Determine the factor settings that maximize bearing life and estimate the Mean Response (EMR) at these settings. How close is your answer to the observed mean response at your optimal settings? If you would like to do hand calculations, blank signs tables, cube plots, etc. are provided over the next several slides

8 U-Do-It Case Study Ball Bearing Example - Signs Table

9 U-Do-It Case Study Ball Bearing Example - Cube Plot

10 U-Do-It Case Study Ball Bearing Example - Seven Effects Paper

11 U-Do-It Case Study Ball Bearing Example - Interaction Table

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