Title :
Simulation-based, ontology driven resource plan development 1|Michael ^Graul
Author :
Graul, M. ; Benjamin, Pierre ; Keen, Aaron ; Boydstun, F.
Author_Institution :
Knowledge Based Syst., Inc., College Station
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.
Keywords :
aerospace engineering; aircraft maintenance; discrete event simulation; ontologies (artificial intelligence); resource allocation; USAF depot; aircraft maintenance; aircraft overhaul; aircraft ramp; aircraft repair; discrete event simulation model; planning ontology; queuing congestion; ramp allocation; ramp resource allocation scenarios; ramp routing; rapid ramp reconfiguration plan; simulation-based ontology driven resource plan development; speed model development; Analytical models; Information technology; Knowledge based systems; Manufacturing; Military aircraft; Ontologies; Production; Scheduling; Technology planning; Terminology;
Conference_Titel :
Simulation Conference, 2007 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1306-5
Electronic_ISBN :
978-1-4244-1306-5
DOI :
10.1109/WSC.2007.4419706