[Download MOCA and Documentation]
The software on this web site was developed by the CALCE Electronic Products and Systems Consortium at the University of Maryland. MOCA development has been supported by the U.S. Air Force Research Laboratories and Wright-Patterson AFB via the ManTech Sustainment Initiative, Manufacturing for Sustainment (Electronic Part Obsolescence Initiative) under contract F33615-99-2-5503; the CALCE Electronic Products and Systems Center; and the National Science Foundation (Division of Design, Manufacture, and Industrial Innovation) Grant No. DMI-0438522.
The rapid growth of the
electronics industry has spurred dramatic changes in electronic parts. Increases
in speed, reductions in feature size and supply voltage, and changes in
interconnection and packaging technologies are becoming events that occur almost
monthly. Consequently, many of the electronic parts that compose a product have
life cycles that are significantly shorter than the life cycle of the product.
This life cycle mismatch problem requires that during design, engineers be
cognizant of which parts will be available and which parts may be obsolete
during a product’s life. This problem is especially prevalent in avionics and
military systems, where systems may encounter obsolescence problems before being
fielded and nearly always experience obsolescence problems during their field
life. This problem is exacerbated by manufacturing that takes place over long
periods of time, and the high cost of system re-qualification that makes the
design refreshes extremely expensive.
Many part obsolescence mitigation strategies exist including: life time buy, last-time buy, part replacement, aftermarket source, uprating, emulation, re-engineering, salvage, and ultimately redesign of the system. Design refresh (or redesign) has the advantage of treating multiple existing and anticipated obsolescence problems concurrently and additionally allows for functional upgrades. Unfortunately, design refresh is also often a very expensive option, not just in non-recurring engineering costs, but also in potential system re-qualification costs.
The MOCA Software Tool
A methodology and it’s implementation (MOCA) has been developed for determining the part obsolescence impact on life cycle sustainment costs for the long field life electronic systems based on future production projections, maintenance requirements and part obsolescence forecasts (Figure 1). Based on a detailed cost analysis model, the methodology determines the optimum design refresh plan during the field-support-life of the product. The design refresh plan consists of the number of design refresh activities, their respective calendar dates and content to minimize the life cycle sustainment cost of the product. The methodology supports user determined short- and long-term obsolescence mitigation approaches on a per part basis, variable look-ahead times associated with design refreshes, and allows for inputs to be specified as probability distributions that can vary with time. Outputs from this analysis are used as inputs to the PRICE Systems PRICE H/L commercial software tools for predicting life cycle costs of systems.

Figure 1 High-level
Additional details of the model formulations and examples produced using the model can be found in the following
publications: J. Myers and P.
Sandborn, "Integration
of Technology Roadmapping Information and Business Case Development into
DMSMS-Driven Design Refresh Planning of the V-22 Advanced Mission Computer,"
Proceedings of the 2007 Aging Aircraft Conference, Palm Springs, CA,
April 2007.
The MOCA software application and associated documentation can be
downloaded from the following links. You will be queried for a CALCE login
and password when downloading the materials below. If you do not have a
login and password please contact sandborn@calce.umd.edu;
at this time appropriate logins and passwords are available only for CALCE
members and other organizations associated with the development of the MOCA
tool. Note, the newest version of MOCA is at the top of the table.
If you are having problems getting the MOCA application to start-up,
click
here.
Important Note: At this time, the
application is only for Windows operating system machines.
If you downloaded MOCA but it won't start-up when
you double click on the application -
click
here!
MOCA User's Guide, Version
2.3
New Features:
If you downloaded MOCA but it won't start-up when
you double click on the application -
click
here! New Features:
Version 2.1
+ installation file* (10/31/05)
*includes optional installation program that can be used in place
of the installation instructions in Chapter 2 of the User's Guide.
If you downloaded MOCA but it won't start-up when
you double click on the application -
click
here! Bug Fixes/New Features:
NOTE: The example data files referred to in
Chapter 3 of the Version 1.3 MOCA documentation are not included
within the Version 1.3.2 download. If you wish to have access to
the example data files you must contact CALCE using the email at the
bottom of this page. If you downloaded MOCA but it won't start-up when
you double click on the application -
click
here!
For questions or problems contact:
sandborn@calce.umd.edu
Download MOCA Software and Documentation
P. Singh and P. Sandborn, "Obsolescence
Driven Design Refresh Planning for Sustainment-Dominated Systems,"
The Engineering Economist, Vol. 51, No. 2, pp. 115-139, April-June 2006.
P. Singh and P.
Sandborn, “Forecasting
Technology Insertion Concurrent with Design Refresh Planning for
COTS-Based Electronic Systems,” Proc. Reliability and Maintainability Symposium,
Arlington, VA, Jan. 2005.
P. Sandborn, "Beyond
Reactive Thinking – We Should be Developing Pro-Active Approaches to
Obsolescence Management Too!," DMSMS Center of Excellence Newsletter,
Vol. 2, Issue 3, pp. 4, 9, July 2004.
P. Singh, P.
Sandborn, T. Geiser, and D. Lorenson, "Electronic
Part Obsolescence Driven Design Refresh Planning," International
Journal of Agile Manufacturing, Vol. 7, No. 1, pp. 23-32, 2004.
P. Singh, P. Sandborn, T. Geiser,
and D. Lorenson, "Electronic
Part Obsolescence Driven Design Refresh Optimization," Proc.
International Conference on Concurrent Engineering,
pp. 961-970, Cranfield University, UK, July 2002.
P.
Singh, P. Sandborn, D. Lorenson, and T. Geiser, "Determining
Optimum Redesign Plans for Avionics Considering Electronic Part
Obsolescence Forecasts,"
in Proc. World Aviation Congress, Phoenix, AZ,
November 2002. (SAE Technical Paper: 2002-1-3012)
P. Sandborn and P. Singh, "Electronic
Part Obsolescence Driven Design Refresh Optimization," in Proc.
FAA/DoD/NASA
Aging Aircraft Conference, San Francisco, CA, September 2002.
P. Sandborn, P. Singh, T. Herald, and J.
Houston, "Optimum
Technology Insertion into Systems Based on the Assessment of Viability,"
IEEE Trans. on Components and Packaging Technologies, Vol. 26, No.
4, 2003
MOCA Brochure
MOCA (Mitigation of Obsolescence Cost
Analysis) software tool wins 2002 University of Maryland Information
Sciences Invention of the Year,
Press
Release (April 28, 2003)
PartMiner licenses electronic part obsolescence
forecasting algorithms from the University of Maryland,
Press
Release (October 16, 2003)
Release
Date
MOCA
Application Software Version
Documentation
Release Notes
June 21, 2007
Version 2.3
MOCA User's Guide, Version 2.3 is applicable and complete
for this version.
Known Bugs
December 21, 2005
Version 2.2
MOCA User's Guide, Version 2.1 is applicable
for this version. In addition a supplement is available that documents
new functionality.
Known Bugs
July 18, 2005
Version 2.1
MOCA User's Guide, Version 2.1 is applicable and complete
for this version.
Known Bugs
September 8, 2004
Version
1.3.2
MOCA User's Guide, Version 1.3 is applicable and complete
for this version.
Bug Fixes/New Features:
CALCE Electronic Systems Cost Modeling Laboratory
University of Maryland
Home Page:
http://www.enme.umd.edu/ESCML
Last Updated: June 21, 2007