AutoDOE. is a powerful statistical tool used by
technical professionals at a very practical level,
providing a cost-effective and organized approach
conduct industrial experiments. Multiple product
design and / or process variables can be studied at
the same time with efficient designs. Due to the
statistical balance of the designs, thousands of
potential combinations of numerous variables at
different settings or levels can be evaluated for the
best overall combination, in fewer number of
experiments. This not only saves experimental cost
but it greatly increases the odds of identifying the
hard-to-find solution to nagging quality problems.

In our work, we have achieved tight integration
between specification of models (via blocks),
generation of experimental designs and automatic
execution of those designs, and generation of response
Response is the output of a process. Sometimes cal
dependent variable(s). surface models from execution
results.

This application has following features:

Design Setup: This feature includes defining factors A
factor of an experiment is a controlled independent
variable; a variable whose levels are set by the
experimenter., defining responses, selecting the model
type, selecting DOE design, and creating worksheet.

Execution: This feature includes processing the
simulation model.

Post-processing: This technique is used to analyze and
improve the system model Mathematical relationship
that relates changes in a given response to changes
inone or more factors. using various statistical tools
(plots). This feature includes viewing the
approximation model, evaluating the approximation
model, evaluation of DOE design and optimizing the
design.

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