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Simulation-based, ontology driven resource plan development
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Source Winter Simulation Conference archive
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come table of contents
Washington D.C.
SESSION: Simulation interoperability: ontology-based interoperability I table of contents
Pages: 1072-1080  
Year of Publication: 2007
ISBN:1-4244-1306-0
Authors
Michael Graul  Knowledge Based Systems, Inc., College Station, TX
Perakath Benjamin  Knowledge Based Systems, Inc., College Station, TX
Arthur Keen  Knowledge Based Systems, Inc., College Station, TX
Frank Boydstun  Oklahoma City Air Logistics Center, Tinker Air Force Base, OK
Sponsors
INFORMS-SIM : Institute for Operations Research and the Management Sciences: Simulation Society
NIST : National Institute of Standards and Technology
(SCS) : The Society for Modeling and Simulation International
ACM/SIGSIM : Association for Computing Machinery: Special Interest Group on Simulation
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/SMC : Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
Publisher
IEEE Press  Piscataway, NJ, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 25,   Citation Count: 0
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ABSTRACT

This paper describes the use of a planning ontology of the domain of Aircraft Maintenance, Repair and Overhaul [MRO] at a USAF depot to produce a discrete event simulation model of the aircraft ramp. The ramp is a very flexible, critical, shared resource for aircraft production. The "found work" variability inherent in the MRO process forces the ramp allocations and routing to be modified frequently. Unplanned aircraft moves are expensive and propagate queuing congestion and more moves. Therefore, it is necessary to develop a Rapid Ramp Reconfiguration Plan (RRRP). Ontology models allow the language of the planner to be harmonized with the language of the simulation analyst to speed model development. Simulation based planning is useful to mitigate the impact of "discovered work" by enabling the evaluation of and best selection from thousands of potential ramp resource allocation scenarios.


Collaborative Colleagues:
Michael Graul: colleagues
Perakath Benjamin: colleagues
Arthur Keen: colleagues
Frank Boydstun: colleagues