Products
OptiMal-DOE
Design of experiments with OPTIMAL.
'OptiMal-DOE' is a concept and a software program, which guides you through an optimization of a process or a new design element.
'OptiMal-DOE' is a very important part of all Six -Sigma programmes, where improvement is the most wanted and also the most difficult part.
'OptiMal-DOE' facilitates effective control with the design and analysis of the 'design of experiment' activity.
The OptiMal-DOE program is based upon general "Design of
Experiments" and includes the ideas and adaptions, which were
developed by Mr. G.
Taguchi from Japan.
OptiMal-DOE is the most effective and cost efficient method to
optimize complicated and complex relations, where the output (the
final result) is dependant of many factors. And it can be achieved
in one experiment!
The Method ensures that you can avoid primitive and ineffective
runs, typically where you analyze one factor at a time.
There are many good examples on the advantages the method
offers.
Some testimonials:
Danfoss has analyzed the production of springs in
Tinglev and achieved considerable improvements. In this case you
really see how, that a small investment under 1500 $ can lead to
improvement in the millin dollar class.
JAI is applying the program to optimize their
foundry for shell moulding.
At JAI it happened frequently that cavities and pits were present
in the foundry. With support from teh DOE methodology JAI
eventually discovered the cause. Since then they could make
foundries much better and with a much smaller cycle time. Again a
relatively small effort with a big impact.
Casco is applying the method to optimize the
glueing process. Todays technology is so advanced that is not a
challenge to make a good glue
Casco's effort have been directed to optimize the application
process, i.e. what is the best choice for each customer. Again the
DOE is the quickest and most effecient way to ensure and optimized
process.
A customer achieved a very good result in using Casco's long
experience together with OptiMal-DOE in case, where the glue should
be applyed on an isolating material..
A preexamination was conducted to find the most probable
compression of the isolating material. However applying the DOE it
was discovered that the optimized settings were deviating
considerable from waht was expected.
Applying DOE, CASCO and its customer achieved a considerable
improved process with much greater strength than achieved
beforehand.
"Again resources were reduced, higher efficiency achieved, and
all in all it renders a much better quality for the end customer",
says Uffe Munk from Casco.
Uddannelse -Træning.
Internal as well as external courses are available.
Application - the method in short:
You must instigate a brainstorming, under which you identify the
most important factors, you think has an influence on the final
result, i.e. teh output, objective or goal we want to
achieve.
When the number of factors are identified the program assists you
in identifying a likely testplan for the experiment. You achieve
the optimization through a carefully designed plan of tke
physically conducted runs. OptiMal DOE will do tehn rest for you
i.e teh calculations.
OptiMal ask you to input the names of the factors,
to be investigated. It also asks you to input the levels to be
examined, the levels are also identified during the
brainstorming.
In the next step you conduct the physical runs in accordance with
the run plan identified from Optimal. OptiMal is used to calculate
the results and the best result, i.e. the best combination/setting
of all the factors involved.
A graphical display of all the factors relative
results/importance is probably the easiest way to read the best
combination. This is one of the big advantages by using OptiMal.
The program easily displays the most important factors for you, and
it also may indicate those factor, which can be neglected in the
future. This helps you to "kill" gosts and mythes, which causes
concerns and discussions without having any real influence.
Best of all: You will have a result "an estimation" of the best
achievable result you may get if you choose to apply the 'best
combination' of the factors involved set at the levels calculated
(chosen trough calculation) i.e. the levels you have been using to
examine the different situations.
In English the experiment is called 'Design of Experiment', in
Danish it is called 'Forsøgsplanlægning'. In French it is called
'Plan d'experience'.
Why should I
use 6 sigma optimization (and OptiMal-DOE):
