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welcome |
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Models, Web-Based Simulations, and Integrated
Analysis Techniques for Improved Logistical Performance is a
research project sponsored by the State of Ohio through the DAGSI/AFRL
research program. Information about this research effort and related
materials can be be accessed from this site. Quick access
links have been added to the side navigation menu to allow easier access
to relevant information. If you have comments or feedback on this web
site, please contact our web master by email at tcastill@cs.wright.edu
or by telephone at (937) 775 5153.
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about
this project |
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As the
Air Force (AF) moves towards becoming an Expeditionary Aerospace Force
(EAF) composed of Air Expeditionary Forces (AEFs), logistical issues,
for both deploying and sustaining these forces, will drive the EAF
vision. Models of logistics processes and integrated information
technologies to support distributed logistics personnel are critical in
supporting the EAF concept. Current logistics models cannot address the
myriad of foreseen and unforeseen issues that the EAF concept presents.
The proposed research program will develop a web-based, portable, and
reusable environment for simulation modeling and analysis to provide the
timeliness and relevance required to conduct the necessary analyses
facing Air Force logisticians, planners and strategists.
The
overall goal is to develop model-based information technology systems
that support predictive analysis using web-based simulations and
tailored user interfaces to logistics personnel at different levels of
abstraction. The simulations and associated interfaces will support
what-if analysis, look-ahead, and integration with real-time information
from distributed sources. The proposed effort will: (1) develop theories
and methodologies for integrating simulations with information support,
(2) design, implement, and evaluate proof-of-concept analysis tools, (3)
interface with ongoing efforts in the related programs in AFRL such as
LOCIS that focuses on integrated technologies for information access and
integration, and (4) support operational and staff logistics development
and planning organizations. The overall approach will be supported by a
computational architecture implemented using Java.
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