La simulazione delle dinamiche aziendali: tre approcci a confronto

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[automatically translated] While in physics, chemistry, biology and other sciences, experimentation is the standard method for doing research, in many social sciences, conduct an experiment is impossible or undesirable. An experiment is to administer a given treatment to an isolated system, and observing what happens. The Treaty system is compared with an equivalent system that does not receive the treatment in order to compare the behavior. Since the only difference between the two systems lies in the treatment applied to the first, and since the two systems are isolated from other possible causes of change, the treatment will be to cause, if necessary, the different behavior of its systems. Since this type of insulation can often be impossible, uneconomical, or unethical in social systems, trials are rarely used in them. A big advantage of computer-aided simulation is that the difficulties related to the isolation of human systems and the ethical problems related to the trial are not present when experimenting on virtual or computational systems. An experiment can also be set, and repeated many times using a range of parameters, or allowing some factors to vary randomly. Sometimes this approach may be the only way to get results. Derive fact the behavior of an analytical model is preferable in general because it provides information on how the model will work given a range of inputs. However, an analytical solution is not always possible. In these cases you need to experiment with different inputs to see how the model behaves; that is, the model is used to simulate the real world as it would be in a variety of circumstances. The computer-aided simulation is a field of investigation and application continuously expanding. Starting from the pioneering applications of the Second World War, in fact, this type of simulation has steadily expanded, to include, most recently, a set of tools, approaches and methodological principles of absolute reliability and wide spread in managerial sciences. The first applications, typically in the '60s, were basically aimed at solving specific industrial problems and productive, with a strong focus on highlighting and solving optimization problems and increasing efficiency (eg for the study of inventory management problems and warehouse). Later, thanks to a gradual expansion of the object of study issues and with the rapid increase in computing power, modeling and computer-aided simulation have become an important complement to the experimentation in the traditional areas of research but also in many social sciences . The element of greatest interest, for that matter, is to gradually shift the focus of analysis and the scope of use of these tools to the strategic management of available resources. In more detail, computer models and flight simulators (also called virtual worlds or micro-worlds) are useful and powerful tools for use in the study and strategic analysis of systems characterized by high degrees of complexity and dynamism. As pointed out by Sterman (2000, pp. 35-58), "They provide low-cost laboratories for learning. The virtual world Allows time and space to be compressed or dilated. Actions can be repeated under the same or different conditions (...) Virtual worlds Provide high-quality feedback. (...) Formalizing qualitative models and testing them via simulation Often leads to radical changes in the way we understand reality (...) Most important, When experimentation in real systems is infeasible, simulation Becomes the main, and perhaps the only, way you can discover I for yourself The vi
Original languageItalian
Title of host publicationControllo di gestione. Metodologie e strumenti
Number of pages40
Publication statusPublished - 2013

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