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内容简介：Most input variables have a robust operating
window in which the output is insensitive or
able to meet manufacturing specifications.
(i.e., relatively few pure linear relationships).
In Design for Six Sigma (DFSS), use DOE to:
n Identify key input variables which affect the mean or
variation of a key product output variable.
n After determining key inputs, mfgs should either:
n Identify robust levels and establish controls to maintain,
n Fix the settings for an input variable, or
n Remove input variable effect by re-designing process.
n If an input variable does not affect the output, then a
mfg may either:
n Ignore the variable.
n Establish control plan to insure that input continues to
have no impact on output.
Identify the process output(s) of concern.
n Identify process input variables which you believe affect
the process output.
n Select input variables to study.
n Use FIRM Approach (next slide)
n Select levels or settings for each process input variable.
n Run the experiment at various combinations of levels.
n Analyze the data for significant main effects (input
variable effects) and interaction effects.
8
FIRM Approach to DOE Variables
n For each potential input variable identified,
determine a model strategy.
n F - fix the settings for input variable
n I - ignore the settings for an input variables
n R - randomize the settings for an input variable
n M - model the variable - identify settings for your
variables in which you want to test.
n Remember the cost of experimentation can
grow significantly if too many variables and/or
levels of variables are selected.
The number of experimental combinations is based
on the:
n number of factors (input variables),
n number of levels for each factor,
n number of factor interactions you wish to study.
n Suppose you wish to study three variables (factors)
with two levels for each variable.
Experimental Combinations = LF = 23 = 8 combinations
(Full Factorial Design)
L = # of Levels, F= # of Factors
n How many total combinations would you have if you
tested 2 factors at 2 levels and 1 factor at 3 levels?
等等... |
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