In discrete-event modeling, we only consider important moments in the system’s lifetime, treat them as instantaneous and atomic events, and abstract away from anything that goes on between two contiguous events. The dynamics of the world around us appear to be continuous: there are no instant changes – everything takes non-zero time, and there are no atomic changes – every change can be further divided into phases. Discrete events and the Event model element They are used a lot in agent-based models, and also work well with process and system dynamics models. Statecharts are very helpful in simulation modeling. Designing state-based behavior: statechartsĪ statechart is a visual construct that enables you to define event- and time-driven behavior of various objects (agents). The intention of this chapter is not to teach system dynamics modeling (there are other excellent books serving this purpose), but rather to explain how to build and run system dynamics models in AnyLogic. You think of the behavior of those objects relevant to the problem, and program that same behavior in the model. You identify which objects in the real system are important for solving the problem and create those same objects in the model. Field service exampleĪgent-based modeling is the easiest modeling method. In this chapter, we detail each approach. Agent-based modeling allows you to simulate the properties of individual components in a system. Discrete event models are used mainly at the operational and tactical levels. System dynamics is used to solve strategic level tasks. In many cases we cannot afford to find the right solutions by experimenting with real objects: building, destroying, making changes may be too expensive, dangerous, or just impossible. Modeling is one of the ways to solve problems that appear in the real world. Suitable for both new users and professionals alike, it provides practical step-by-step guides based on a variety of application areas.Ĭhapter 1. The book is based on the modeling languages supported by AnyLogic, the software tool that enables a modeler to utilize all three methods and to combine them in a single model. With over 100 hands-on, step-by-step examples with different levels of complexity, it is the only book to comprehensively present the three major paradigms in simulation modeling: agent-based, system dynamics, and discrete-event. It explains how to choose the right constructs of the modeling language to create a representation of a real world system that is suitable for risk-free dynamic experiments.
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