In AnyLogic multimethod simulation software, entities and resources can be modeled as agents with individual behavior and state changes. In classic discrete-event tools, the entities are passive and can only have attributes that affect the way they are handled. AnyLogic supports and integrates all three modeling methods, so you can experiment with abstraction levels and simulation modeling approaches without needing multiple tools. Similarly, if you are interested in aggregate values, and not individual unit interaction, system dynamics may be applied. For example, if it is easier to describe the behavior of each individual object than trying to create a global workflow, agent based modeling may be the solution. However, it is not always clear which of the three modeling paradigms is best for a system. When the system under analysis can naturally be described as a sequence of operations, discrete-event modeling techniques should be used. Read the white paper Discrete-event modeling and multimethod simulation ![]() 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 three main simulation modeling approaches: discrete-event, agent-based, and system dynamics modeling, and construct a multimethod model example to illustrate the advantages of combining different methods. Discrete-event simulation modeling is widely used in the manufacturing, logistics, and healthcare fields. Typically, specific physical details, such as car geometry or train acceleration, are not represented. These events and movement between them can be smoothly animated.ĭiscrete-event simulation focuses on the processes in a system at a medium level of abstraction. The actual movement of the train would be modeled as a time delay between the departure and arrival events. Using discrete-event simulation modeling, the movement of a train from point A to point B is modeled with two events, namely a departure and an arrival. To simulate this, discrete-event simulation is often chosen. ![]() For example, a truck arrives at a warehouse, goes to an unloading gate, unloads, and then departs. ![]() Most business processes can be described as a sequence of separate discrete events.
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