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Troy,
Michigan U.S.A. September 12, 2003
Dimensional Control Systems, Inc. (DCS) is awarded 2 Million Dollar Research and
Development project by US Commerce Department prestigious National Institute of Standards and Technology
(NIST) Advanced Technology Program (ATP)
to
develop SOVA. >>>>>>
Stream-of-Variation
Analysis (SOVA)
is a modeling, analysis, synthesis, and process control system for variation
management of multistage manufacturing processes. The development of this
technology will provide broad benefits, and significantly reduce the product
realization cycle time (new product/process development and ramp-up time). It
will provide a universal simulation engine for analysis and prediction of
manufacturing system performance based on system design information, thus
creating a paradigm shift in the way future production systems will be designed
- from trial-and-error in the estimation of product quality, ramp-up
time, and yield to math-based prediction. >>>>>>
SOVA is
a quantum leap forward in the variation management technology. It
will be applicable to various complex multistage manufacturing processes used
for assembly systems (automotive, aerospace, shipbuilding, appliance, electronic
assembly, and consumer goods), as well as for component fabrication
(semiconductor manufacturing, machining systems: transfer lines, cells or hybrid
systems). The SOVA system will be disseminated as a computer aided design and
process diagnosis tool for design, engineering & manufacturing system
engineers. Development of the SOVA system will provide substantial benefits to
the U.S. economy. Expected benefits include faster time to produce products,
quicker introduction to the market, rapid capture of market growth, reduced
overall manufacturing system development costs, reduced installation, debug, and
ramp-up time. >>>>>>
An ATP
award is regarded as the gold medal in Research Olympics.
The ATP provides
cost-shared funding to industry-led teams which can include non-profits and
universities to help advance particularly challenging, high-risk R&D
projects that have the potential to spark important, broad-based economic or
social benefits for the United States. The program supports projects that
industry cannot fully fund on its own because of significant technical risks.
ATP
awards are made on the basis of rigorous, competitive peer review of the
scientific and technical merit of each proposal. The program accelerates
enabling technology research, but does not support product development
work.>>>
>>>
The project announcement from NIST
states -"Who could
have predicted?" This lament is heard often during the launch of a new
manufacturing and assembly process designed to deliver a wonderful new product
to the consumer market. The joining of rigid parts with compliant or flexible
parts often leads to unanticipated misalignments and other dimensional
variations that accumulate and are increasingly compounded as the product moves
down the assembly line. Dimensional Control Systems will develop SOVA to
eliminate most of the costly trial-and-error fine-tuning of new-product assembly
processes attributable to these unforeseen dimensional errors. SOVA is intended
to be a widely useful tool-set to be used throughout the assembly process from
design through production. Implemented during the product design phase, the
software will produce mathematics-based predictions of potential downstream
assembly problems, based on evaluations of the design and a large array of
process variables. By integrating product and process design in a pre-production
simulation, SOVA can head off individual assembly errors that
contribute to an accumulating set of dimensional variations, which ultimately
result in out-of-tolerance parts and products. Once in the ramp-up stage of
production, SOVA will be able to compare predicted misalignments with actual
measurements to determine the degree of mismatch in the assemblies, diagnose the
root causes of the errors, isolate the sources from other assembly steps, and
then, on the basis of the SOVA model and product measurements, recommend
solutions. These analytical, predictive and diagnostic capabilities are enabled
by new variation modeling research by DCS and its collaborators at the
University of Wisconsin-Madison. If transferred to the manufacturing sector,
such tools would deliver major benefits in terms of cost savings, productivity
and quality improvements, and shortened product development cycles. For example,
DCS estimates that SOVA could reduce the number of design iterations for each
new product model. The company intends to demonstrate a complete package of SOVA
tools at two U.S. auto assembly plants in 2006. The challenge of diagnosing root
causes of variation for compliant parts as well as applying control-theoretic
constructs to modeling and evaluation of dimensional variations are among the
major technical hurdles that must be overcome. ATP funding will augment company
resources devoted to developing the SOVA approach and proving its technical
feasibility. Dimensional Control Systems has not been able to obtain external
funding because of the high technical hurdles to be overcome and the longer
timeframe for return on investment. Without funding, DCS estimates that these
efforts could take up to 10 years.>>>
>>>
Dimensional
Control Systems, Inc. (DCS) is
a world-class provider of Dimensional Engineering Consulting Services and
Software Solutions. DCS is a trusted
source of highly acclaimed 3-D tolerance analysis technology. DCS has been successfully supplying
organizations worldwide with full-service, turnkey Dimensional Quality
Solutions. 1DCS, DCS-DFC, 3DCS, 3DCS
CAA V5 Based for CATIA V5, GDM-3D, and DataGrabber are all trademarks of
Dimensional Control Systems, Inc. >>>
Additional
Information about DCS is available at http://www.3dcs.com Additional
Information about NIST is available at http://www.nist.gov Additional
Information about ATP is available at http://www.atp.nist.gov >>>>>>
| DCS Press
Contacts: |
DCS Business
Contacts: |
DCS Program
Director / Principal Investigator: |
John
Sienkowski +1 248 269
9777 jsienkowski@3dcs.com |
Mike
Pritchard +1 248 269
9777 mpritchard@3dcs.com |
Ramesh
Kumar +1
248 269 9777 |
| |
Rick
Rots +1 248 269
9777 rrots@3dcs.com |
Co-Principal
Investigator: Prof. Darek Ceglarek >>>>>> University of
Wisconsin-Madison >>>>>> +1 608 265
3457 darek@engr.wisc.edu http://www.cae.wisc.edu/~darek
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