Simulation modeling of economic processes and characteristics of the main types

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Simulation modeling of economic processes becomes the method that allows you to design patterns that describe the processes in such a way as if they functioned in reality.Using them, it is possible to obtain a stable and reliable statistics.Based on these data, it is possible to select the optimal path of development of the organization.

simulation method is a method of investigation, in which a particular system will be replaced by one which is sufficiently accurate in describing the real.Since it must be carried out experiments in order to obtain reliable information.This procedure allows to comprehend the essence of the phenomenon, without in this case the real change of the object to the desired time.

Simulation modeling of business processes is a special case of mathematical modeling.The fact that there is a class of objects for which no analytical models have been developed for various reasons.Or, for them there is no system of methods of application of innovative solutions.In such cases, a simulation of economic processes.

To her resorted to in cases where:

  • expensive experiment with a real object;
  • impossible to build an analytical model for a variety of reasons;
  • need to get results and to assess its "behavior" in terms of time frames.

Simulation modeling of economic processes has several types.We consider these in more detail.

Agent based modeling is an innovative trend which is widely used to investigate the decentralized systems.The dynamics of their functioning is determined not so much by global laws and regulations, but on the contrary, these principles are the result of the individual activities of the members of the group.

Therefore, in this case, the purpose and objectives of the model is to get an idea of ​​these fundamental principles, the behavior of the selected system.But will have to come from the assumptions of the individual, the private behavior of the individual objects and their relationships in the system.

agent becomes a special entity that has the active and autonomous behavior, able to take and implement decisions in accordance with a set of specific rules, to interact with the existing environment, as well as independently to change itself.

Discrete event simulation modeling is an approach that offers abstract from existing events, considering the number of major events in the system.It is about "waiting", "order processing", "moving with cargo", "discharge", and so on.This simulation is very well developed and has a huge area of ​​applications - from logistics and maintenance system to the production and transport systems.In general, the ideal method can come in any situation;It was founded by John. Gordon in the middle of the twentieth century.

System Dynamics - a simulation of economic processes, when the object under study will build graphs, diagrams, calculations, reflecting the causal relationships and global influence of one on the other criteria for a certain period of time.Further, based on these system is simulated on a computer.Because of this there is a real opportunity to realize the essence of what is happening and to identify the existing relations of cause and effect between the phenomena and objects.System dynamics helps to build a model of urban development, business processes, production systems, development of ecology, population, epidemics and so on.