DOE 模板

DOE 模板
DOE 模板

DESIGN OF EXPERIMENTS TEMPLATE

Step 1: State Objective

Objective of Experiment: Reflow profile [LED]

Critical Characteristic(s): Temperature area and convey speed

Desired Outcome: LED profile

Step 2: Select Output Response(s)

Identify the following for each output response.

Desired Outcome (min., max., target):

Unit of Measure:

Instrument (name, MFG., model):

Measurement Method(brief description):

Measurement System Error (%):

Alternative Measurement Method:

Step 3: Select Input Variables

Input Variables - to be varied in the experiment

a 2, etc. for each response. Add additional columns for more than two output responses. Expected Interactions

Uncontrollable Variables

Step 4: Select Experiment Type

Full and Fractional Factorials

Number of input variables:

Blocking: (yes, no)

Number of runs:

Number of center points:

Resolution: (R3, R4, R5, > R5)

Insert base design layout: (optional)

Response Surface Models

Number of input variables:

Blocking: (yes, no)

Number of runs:

Number of center points:

Axial Scaling: ( rotatable, orthogonal, on face, user specified)

Design Type: (CCD or Box Behnken)

Insert base design layout: (optional)

Other Types of Designs

Number of input variables:

Blocking: (yes, no)

Number of runs:

Number of levels:

Number of center points:

Insert base design layout: (optional)

Step 5 Define Experimental Strategy

Define the experimental unit:

Is the process stable? (prior and during the experiment) - Yes/no Estimate Sample Size

Categorical Output Response

Use np ≥ 5 guideline for character (categorical) data. For example, if p=.01, (1% defective); then n (sample size) ≥ 5 /.01 ≥ 500 per experimental run.

Scaled Output Response

1Best

2Better

3Average

4Poor

5Worst

Guideline: The scale must measure the range of the variation. Example - rank the best unit a 1, rank the worst unit a 5, and so on.

Randomization scheme

(Examples - full randomization, hard to change input variable scheme, other)

if other, briefly explain.

INTERIM REPORT - Steps 1-5.

Step 6: Run Experiment

The documentation for step 6 should include the raw data.

Insert data sheet with data recorded:

Step 7: Fit Model

Documentation for step 7 should include:

Graphical -

Numerical - Summary of Fit, Analysis of Variance, Lack of Fit, Parameter Estimates, Effect Test

Step 8: Diagnose Model

Documentation for step 8 should include residual test:

Test for normality

Test for equal variance

Test for independence

Test for variance reduction factor

Step 9: Interpret Model

Documentation for step 9 should include:

Prediction profiler with the input variables set at the best setting to meet the

experimental objective.

Cube Plot (two level designs)

Interaction Plots

Contour Plot (RSM)

Contour Profiler

Prediction Equation

Step 10: Run Confirmation

Did the experiment confirm- yes / no

Recommended next step

FINAL REPORT

Verify that all the necessary information in the documentation template is entered accurately for steps 1-10. The final report may be used to present the results to a supervisor or the team.

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