ATLAS: A Generalized Maintenance Modeling and Simulation Tool Suite

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$119,292.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
DAAD17-03-C-002
Award Id:
62921
Agency Tracking Number:
A022-3181
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1408 University Drive East, College Station, TX, 77840
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
MichaelPainter
Senior Systems Analyst
(979) 260-5274
MPainter@kbsi.com
Business Contact:
PerakathBenjamin
Vice President, Research
(979) 260-5274
PBenjamin@kbsi.com
Research Institute:
n/a
Abstract
The objective of the proposed effort is to develop an ATLAS (Army Transformation in Logistics And Sustainment) environment that provides a unified modeling and experimentation framework for assessing current and future combat systems maintenance concepts,maintenance manpower and capacity planning and soldier load / effectiveness with simulation, tradeoff analysis, data-mining analytics and optimization capabilities. We call this system ATLAS as the effectiveness of the current and future Army rests on theshoulders of its maintenance; standing on its logistics footprint. Furthermore, with this technology, the Army's goals of a 90% Ao (Operation Availability) and a 20% TOCR (Total Ownership Cost Reduction) for existing weapon systems can be pursued in arigorous fashion and will provide the basis for establishing realistic sustainment specifications for performance based logistics support.The proposed effort involves an accelerated development approach to produce a mature, robust, and proven technology developed through proven technology reuse; extending KBSI's model library for wheeled vehicles, tracked vehicles, and aircraft maintenanceprocess simulation; and in situ technology demonstration and field testing at Ft. Hood, Ft. Campbell Texas, Anniston Army Depot, and Corpus Christi Army Depot. The proposed effort will help the Army make substantial reductions in total ownership costs while improving operational availability. Making these improvements requires understanding what drives three parameters that directly affect these metrics: 1)maintenance event rates (MER), 2) down time per maintenance event (DTME), and 3) cost per maintenance event ($ME). Understanding the drivers for these three parameters requires accurate models of the tasks performed both at the weapon system level and inthe supporting logistics infrastructure. This will be made possible by providing users with a technology that provides altogether new levels of maintenance organization asset and capacity visibility and that helps users analyze and simulate unitperformance based on observed or anticipated conditions. This technology will provide a unified modeling and experimentation framework for assessing current and future combat systems maintenance concepts, maintenance manpower and capacity planning andsoldier load / effectiveness with simulation, tradeoff analysis, data-mining analytics and optimization capabilities. Using this technology, decision-makers within each maintenance organization can pursue the Army's of a 90% AO (Operation Availability)and a 20% TOCR (Total Ownership Cost Reduction) for existing weapon systems and directly pursue performance based logistics goals in a rigorous fashion.

* information listed above is at the time of submission.

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