Six-sigma13 - Improve Phase Improve Phase Elements Perform...

Info iconThis preview shows pages 1–18. Sign up to view the full content.

View Full Document Right Arrow Icon
Improve Phase
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Improve Phase Elements Perform Cost/ Benefit Analysis Generate Improvement Alternatives Pilot Validate Improvement Create “Should Be/ Future State” Process Map
Background image of page 2
Generate Improvement Alternatives Perform Cost/ Benefit Analysis Generate Improvement Alternatives Pilot Validate Improvement Create “Should Be/ Future State” Process Map
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Organizing the way in which one changes one or more input variables (Xs) to see if any of the variables, or any combination of those variables, affects the output (Y) in a significant way. What is Experimental Design?
Background image of page 4
A Typical Process Process Input Materials (Factors) Output Materials (Product or Intermediate) Process Parameters (Factors) Key Performance Metrics (Response)
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Process, Responses, and Factors Factors Silver laydown, Finish time Pressure, Temp Catalyst Transport speed, Capture lens. .. Responses Speed, Contrast Yield, Purity Image resolution, Banding Film Building Chemical Process Digital Imaging
Background image of page 6
Which factors have the strongest effects? Do any of the factors interact? Which factor settings give the best results? DOE is an Improvement Tool Our Product s performance is not good enough. .. Mix ratio of incoming materials? Temperature? Pressure?
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Purposeful and systematic changes in the inputs (factors) in order to observe corresponding changes in the output (response) Figure out the relationship between factors and responses by experimental data analysis Determine the factors setting for best results in responses Factors (X’s) Responses (Y’s) PROCESS How DOE Works?
Background image of page 8
One Factor at a time X1 (parameter1) X2 (parameter 2) Xn (parameter n) PRESSURE TEMPERATURE 1 2 Maximum Zone Maximum Response 4 TEMPERATURE 3 TEMPERATURE Test Conclusion TEMPERATURE Test Conclusion Optimum
Background image of page 9

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
One-Factor-At-A-Time Process: Yield = f(temperature, pressure) 30% yield 50% yield Max yield: 50% at 78 ° C, 130 psi?
Background image of page 10
One-Factor-At-A-Time Process: Yield = f(temperature, pressure) A better view of the maximum yield! Optimized yield is over 85%
Background image of page 11

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
One Factor at a time X1 (parameter1) X2 (parameter 2) Xn (parameter n) DOE X1 (parameter1) X2 (parameter 2) Xn (parameter n)
Background image of page 12
Benefits of Experiments Statistical experiments are rich in benefits: • Short time to get results • Relatively low cost • Excellent chance of detecting optimal variable levels • Very high confidence in results • Able to identify independent main and interaction effects
Background image of page 13

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Strategy for Experimentation Experimentation steps: Select the Response Variable(s) – Y Select the Independent Factor(s) – X Choose the Factor Levels Select the Experimental Design Collect the Data Analyze the Data Draw Conclusions Apply Optimal Factor Settings
Background image of page 14
Optimization Screening Characterization A B C D E F G H I J K B F J K F K Factors Design of Experiments – Stages Time
Background image of page 15

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Major Topics in DOE Planning and organizing experiments Randomized and randomized block designs Full factorial experiments Fractional factorial experiments Response surface experiments
Background image of page 16
What is experimental design?
Background image of page 17

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 18
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 05/09/2010 for the course IE IE7610 taught by Professor Dr.kaiyang during the Winter '10 term at Wayne State University.

Page1 / 35

Six-sigma13 - Improve Phase Improve Phase Elements Perform...

This preview shows document pages 1 - 18. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online