Decision Support System (DSS) is a system software to support decisions and to allow an effective analysis improvement. DSS support all people that have to decide about strategy in particular complex contest in which for human may be difficult establish what is the best choose, or what is the best decision-making strategy to carry out to achieve the objective. A fundamental step is the system conceptual model building. In simple problems basic mathematics is enough. In more complex problem it is impossible to manage the mathematic solution and for this reason the simulation is used. Scope of simulation is to schematize reality reflecting it faithfully. It can be discrete or continue. In the first case, dependent variables change discretely for particular time values simulated, in the second case dependent variables can change in continuous manner during the simulation range. Into this article we proceed by steps: in the first section literature review will be shown, referring literatures that have already shown this themes; in the second section we will proceed analyzing the integration among different models and, consequently, the building of model for simulation importance; in third section there will be a focus on simulation concept and difference between discrete and continuous simulation. Purpose In more complex problem it is impossible to manage the mathematic solution and for this reason the simulation is used. Scope of simulation is to schematize reality reflecting it faithfully. In this paper we propose a Hybrid Simulation Model based on the integration to DES and SD. Design/methodology/approach The project involves the construction of general logic, using the integration between SD and DES, takes advantage of the computational complexity and systemic analysis and resolution of real problems in different application fields. Originality/value The innovation added by the integration does not consist in the construction of models using two constructs together but using the logic des and sd in a single model.
Dynamic simulation applied to support decision making / Romano, Elpidio; Chiocca, Daniela; Guizzi, Guido. - 11-13-:(2013), pp. 291-296. (Intervento presentato al convegno 18th Summer School Francesco Turco 2013 tenutosi a Ritz Hotel, ita nel 2013).
Dynamic simulation applied to support decision making
GUIZZI, GUIDO
2013
Abstract
Decision Support System (DSS) is a system software to support decisions and to allow an effective analysis improvement. DSS support all people that have to decide about strategy in particular complex contest in which for human may be difficult establish what is the best choose, or what is the best decision-making strategy to carry out to achieve the objective. A fundamental step is the system conceptual model building. In simple problems basic mathematics is enough. In more complex problem it is impossible to manage the mathematic solution and for this reason the simulation is used. Scope of simulation is to schematize reality reflecting it faithfully. It can be discrete or continue. In the first case, dependent variables change discretely for particular time values simulated, in the second case dependent variables can change in continuous manner during the simulation range. Into this article we proceed by steps: in the first section literature review will be shown, referring literatures that have already shown this themes; in the second section we will proceed analyzing the integration among different models and, consequently, the building of model for simulation importance; in third section there will be a focus on simulation concept and difference between discrete and continuous simulation. Purpose In more complex problem it is impossible to manage the mathematic solution and for this reason the simulation is used. Scope of simulation is to schematize reality reflecting it faithfully. In this paper we propose a Hybrid Simulation Model based on the integration to DES and SD. Design/methodology/approach The project involves the construction of general logic, using the integration between SD and DES, takes advantage of the computational complexity and systemic analysis and resolution of real problems in different application fields. Originality/value The innovation added by the integration does not consist in the construction of models using two constructs together but using the logic des and sd in a single model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
