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The agent based modeling approach is free of these limitations because the focus is directly on individual objects, their behavior, and their interaction. For example, a customer may consult his family before making a purchase decision, or individual aircraft availability may be determined by rigid fleet maintenance schedules. They can capture organizational dynamics and nonlinearity, but they ignore the unique composition and complex relationships of individual entities. These approaches are more powerful than spreadsheet based modeling. Meanwhile, discrete event models view organizations as a number of processes, such as, “A customer calls a call center, the call is first handled by a Type A operator, which takes an average of 2 minutes, then 20% of the calls need to be forwarded.” System dynamics models, for example, necessarily contain assumptions such as, “We have 120 employees in R&D, and they can design about 20 new products a year.” or, “We have a fleet of 1200 trucks with a defined monthly shipment capacity, and 5% of them need to be replaced each year.” Traditional modeling approaches treat company employees, customers, products, facilities, and equipment as uniform groups, passive entities, or just resources in a process. Read the white paper Agent based simulation modeling is a new way to look at your organization Read the white paper and see why hybrid models are always a better choice! In our white paper, Multimethod Simulation Modeling for Business Applications, we investigate these three main simulation modeling approaches and construct a multimethod model example to illustrate the advantages of multimethod simulation modeling.
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The global dynamics of the system then emerge from the interactions of the many individual behaviors.ĪnyLogic combines professional discrete event, system dynamics, and agent based modeling in one platform for efficient, no compromise results. Connections between them are established, environmental variables set, and simulations run. They may be people, households, vehicles, equipment, products, or companies, whatever is relevant to the system. With agent based modeling, active entities, known as agents, must be identified and their behavior defined. This is in contrast to both the more abstract system dynamics approach, and the process-focused discrete event method. Agent based modeling focuses on the individual active components of a system.
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