Models and simulations of all kinds are tools for dealing with reality. Humans have always used mental models to better understand the world around them: to make plans, to consider different possibilities, to share ideas with others, to test changes, and to determine whether or not the development of an idea is feasible” (Bossel, 1994). Modelling and Simulation (M&S) is today the best way to go beyond mental models, above all thanks to the possibility of studying a wide variety of real-world complex systems by numerical evaluation using ad-hoc tools designed to imitate systems operations or characteristics over time (Kelton et al., 2003). In effect, real world systems are mostly complex systems; complexity can be attributed to the variety and plurality of features/aspects that must be simultaneously considered; namely many heterogeneous sub-systems, interactions usually difficult to detect and understand, intricate information flows, etc. In addition, the mutual influence between systems and the external environment usually increases the already high dynamic behaviour of real-world complex systems.

INDUSTRY, DEFENCE AND LOGISTICS: SUSTAINABILITY OF MULTIPLE SIMULATION BASED APPROACHES

LONGO, Francesco
2011-01-01

Abstract

Models and simulations of all kinds are tools for dealing with reality. Humans have always used mental models to better understand the world around them: to make plans, to consider different possibilities, to share ideas with others, to test changes, and to determine whether or not the development of an idea is feasible” (Bossel, 1994). Modelling and Simulation (M&S) is today the best way to go beyond mental models, above all thanks to the possibility of studying a wide variety of real-world complex systems by numerical evaluation using ad-hoc tools designed to imitate systems operations or characteristics over time (Kelton et al., 2003). In effect, real world systems are mostly complex systems; complexity can be attributed to the variety and plurality of features/aspects that must be simultaneously considered; namely many heterogeneous sub-systems, interactions usually difficult to detect and understand, intricate information flows, etc. In addition, the mutual influence between systems and the external environment usually increases the already high dynamic behaviour of real-world complex systems.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/140617
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