A New Theme for Design of Experiments or How to Un-Geek the DOE Process

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A New Theme for Design of Experiments or How to Un-Geek the DOE Process Bill Hooper Sr. Statistical Engineer Elkay Manufacturing ASQ – CQE, CRE, CSSBB, CMQ/OE May 24, 2010

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A New Theme for Design of Experiments or How to Un-Geek the DOE Process. Bill Hooper Sr. Statistical Engineer Elkay Manufacturing ASQ – CQE, CRE, CSSBB, CMQ/OE. May 24, 2010. Overview of Presentation. The status-quo of a DOE Five steps to changing the status-quo for the DOE process - PowerPoint PPT Presentation

Transcript of A New Theme for Design of Experiments or How to Un-Geek the DOE Process

Page 1: A New Theme for Design of Experiments or How to Un-Geek the DOE Process

A New Theme for Design of Experiments or How to Un-

Geek the DOE Process

Bill HooperSr. Statistical EngineerElkay Manufacturing

ASQ – CQE, CRE, CSSBB, CMQ/OE

May 24, 2010

Page 2: A New Theme for Design of Experiments or How to Un-Geek the DOE Process

Overview of PresentationOverview of Presentation

The status-quo of a DOEFive steps to changing the status-

quo for the DOE processAn example DOE with attribute and

ordinal data

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So what is the status quo?

Computer generated designs

Low operator involvement/commitment

Statistics! Statistics! Statistics!

4-6 months to get results

30 days for the rebound

Page 4: A New Theme for Design of Experiments or How to Un-Geek the DOE Process

So what is not the status quo?So what is not the status quo?

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#1 – Shut the computer off and#1 – Shut the computer off and design freehand design freehand

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Factors: 8 Resolution: IV Runs: 67 Replicates: 2 Fraction: 1/8 Blocks: 2 Center pts 3

Design Generators: F = ABC, G = ABD, H = BCDE

Fraction Factorial Design

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Page 8: A New Theme for Design of Experiments or How to Un-Geek the DOE Process

Available Factor Designs and their Available Factor Designs and their ResolutionResolution

FactorsRuns 2 3 4 5 6 7 8 9 10

4 Full

8 Full IV III III III

16 Full V IV IV IV III III

32 Full VI IV IV IV IV

64 Full VII V IV IV

128 full VIII VI V

Memorize!! Do only if necessary

III

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#2: Understand Statistics#2: Understand Statistics without talking statistics without talking statistics

What is an Alpha error?

What is a Beta error?

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What the jury found

He did it

guilty Not guilty

He did not do it

What really

happened

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#3 Eliminate the killer Alpha#3 Eliminate the killer Alpha errors! errors!

So what is an example of an alpha error?

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#4 - Speed does matter#4 - Speed does matter(2-4 days tops)(2-4 days tops)

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Typical fast resultsTypical fast results

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#5 – make it visual #5 – make it visual

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The defectsBowl wrinkle Bowl Break

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Breaks

Bowl Wrinkle

Deck Wrinkles

Possible sweet spot

Ordinal/Attribute Data Run Analysis

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Additional runs to define sweet spot

Follow-up Runs – making it work

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……and it does workand it does work

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Un-geeking the DOE processUn-geeking the DOE processShut the computer offUnderstand statistics without talking

statisticsStop the Nelson Mandela errorsSpeed Make it obvious – use graphics

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……..the simplest DOE ..the simplest DOE

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Bill HooperBill HooperElkay Manufacturing CompanyElkay Manufacturing Company