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. This book is a practical guide to building simulation models.

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