Cited By
View all- Figueira GAlmada-Lobo B(2014)Hybrid simulation–optimization methods: A taxonomy and discussionSimulation Modelling Practice and Theory10.1016/j.simpat.2014.03.00746(118-134)Online publication date: Aug-2014
A hybrid analytical/simulation modeling approach for planning mass tactical airborne operations
Pages 1257 - 1261
Abstract
A hybrid analytical/simulation model is developed to plan for mass tactical airborne operations. This automated tool enables the user to properly load aircraft according to the mission and user specifications, so that the minimum amount of time is required to seize all assigned objectives. The first portion is a mathematical model that once solved provides the optimal manifest under "perfect conditions". This analytical model is represented by a transportation network, and optimized using a transportation algorithm. The results of this solution are input to an integrated simulation model that introduces the inherent variability. The simulation returns the expected, best, and worst arrival times, and the build up of power over time. This hybrid approach allows a very large problem to be solved efficiently with a great deal of time savings.
References
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CACI Products Company. 1991. MODSIM 11, The Language for Object Oriented Programming: Reference Manual La Jolla, California.
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Hayes, T. R. 1994. Dismounted Infantry Movement Rate Study. Simulation Technologies Letter Report 94-001.
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Sargent, R. G. 1994. A Historical View of Hybrid Simulation/Analytical Models. In Proceedings of the 1994 Winter Simulation Conference, 383-386.
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Shanthikumar, J. G., and R. G. Sargent. 1983. A Unifying View of Hybrid Simulation/Analytical Models and Modeling. Operations Research, 31: 1030-1052.
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Index Terms
- A hybrid analytical/simulation modeling approach for planning mass tactical airborne operations
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Information & Contributors
Information
Published In
December 1995
1493 pages
ISBN:0780330188
- Chairmen:
- William R. Lilegdon,
- David Goldsman,
- Editors:
- Christos Alexopoulos,
- Keebom Kang
Sponsors
- IIE: Institute of Industrial Engineers
- IEEE-SMCS: Systems, Man & Cybernetics Society
- INFORMS/CS: Computer Science TC
- ASA: American Statistical Association
- ACM: Association for Computing Machinery
- SCS: Society for Computer Simulation
- SIGSIM: ACM Special Interest Group on Simulation and Modeling
- IEEE-CS: Computer Society
- NIST: National Institute of Standards & Technology
Publisher
IEEE Computer Society
United States
Publication History
Published: 01 December 1995
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WSC '95 Paper Acceptance Rate 122 of 183 submissions, 67%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%
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View all- Figueira GAlmada-Lobo B(2014)Hybrid simulation–optimization methods: A taxonomy and discussionSimulation Modelling Practice and Theory10.1016/j.simpat.2014.03.00746(118-134)Online publication date: Aug-2014
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