Modeling and analyzing army air assault operations via simulation (original) (raw)
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Combat Modeling and the Airland Battle-Past, Present, and Future
1991
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Vojnotehnicki glasnik
Introduction/purpose: The goal of the research in this paper is to present and evaluate the method of modeling operations by aggregating forces by simulating the battle process with Lanchester's equations. This method is the software basis of a certain number of programs used in NATO, in war simulations, and in the planning and analysis of operations. Its value is in understanding the consequences of decisions made with outcomes and results of combat actions. Methods: The case study of the well-known Operation Desert Storm gathered the necessary data on operational parameters and the way forces are used in battles. The obtained data were transformed into operational variables of the combat model using the force aggregation method, whose simulation was carried out using the method of differential Lanchester's equations (quadratic law). Results: By simulating the modeled operation, the parameters of the outcome of the conflict were obtained with numerical indicators of success...
The combat simulation of desert storm with applications for contingency operations
Naval Research Logistics, 1995
Operation Desert Storm shattered the myth that the next war US. forces would fight would be a European battle between NATO and the Warsaw Pact. The senior leadership of the Army, in conjunction with the National Command Authority, demanded insights from combat simulations to assist in war-planning and war-fighting efforts for Operation Desert Storm. This article describes how an existing theater-level simulation, the Concepts Evaluation Model, was used by analysts at the U S. Army Concepts Analysis Agency (CAA) to simulate Desert Storm in support of those efforts, and details specific innovations that may have applications for future contingency operations.
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This paper reviews the application of simulation technology to military command and control decision support. A command and control system is defined and a model of decision-making is introduced. Possible applications of simulation to all phases of the command and control decision-making model are discussed. The difficulties of interfacing current C3I and simulation systems are outlined, and areas that require further research are identified.
Title : Modeling as an Aid to Robust Tactical Decision-Making Topic 6 : Modeling and Simulation
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In C situations, decision makers would love having a crystal ball that describes future events not under their control, and how these events would affect each of the courses of action (COAs) being considered. Further, decision makers would appreciate knowing the potential cost of each COA—e.g, via a metric based on the numbers of resources used and the damage, injury, and deaths that may result. While crystal ball technology remains as elusive as ever, Lempert et al. and Chandrasekaran have developed general methods for identifying robust COAs by using simulation models that determine the plausible consequences of each COA under a wide range of possible futures. Because the simulation models must be run many times for each of the (possibly many) COAs, these techniques are computationally intensive, sometimes taking hours, days or weeks. Since tactical commanders need to make decisions in minutes or seconds, we have been manipulating the models underlying two different simulations to...
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Proceedings of the 2004 Winter Simulation Conference, 2004., 2004
In order to maintain an edge during this time of unprecedented technological growth, the Army must field Infantry soldier systems quickly; however, the cost of doing so without some assessment of utility is quite high. Therefore, the acquisition community must estimate the operational impact of proposed systems with an increasing degree of accuracy. For this, the Army has turned to combat simulations. However, the focus in the past has been on larger battlefield systems and unit-level analyses. Additionally, Infantry soldier models require unprecedented fidelity in terms of the soldier entity and his environment. As a result, the simulation representation of the individual soldier on the battlefield has not kept pace with other representations. In this paper, we discuss our identification of the unique simulation requirements for modeling the Infantry soldier as a system of systems in support of acquisition decision making.