
Explore how AnyLogic equips you to build powerful simulation models through a beginner-friendly tutorial that covers a wide range of topics.
Explore AnyLogic's key features and industries, install and configure your workspace, build and run models, and analyze results through case studies in healthcare, manufacturing, and logistics.
Explore AnyLogic, a powerful simulation modeling tool, and learn to build agent-based, resource-driven models with libraries, data analysis, optimization, and real-time data integration for industries like manufacturing and healthcare.
Download and install AnyLogic, start a new project, and build a basic queue model using source, delay, and sink to run and observe the simulation.
Explore modeling and simulation with AnyLogic to solve real-world problems by building simplified models using a modeling language, testing scenarios, comparing outcomes, and optimizing solutions.
Explore how different kinds of models, such as organizational charts, model railroads, and wind tunnels, help analyze structure, roles, and aerodynamic designs.
Compare analytical modeling in Ms. Excel with simulation when many parameters and non-linear, time-dependent factors arise. See how sequencing future events informs optimal vehicle routing beyond spreadsheets.
Simulation modeling shows why analytical solutions fail for realistic bank processes, with independent arrivals and exponential service times, shared resources, and diverse employee skills.
Explore how a simulation model uses rules to move from the current state to the next, via differential equations and state/process/flow charts, producing KPIs and enabling dynamic analysis.
Explore simulation across abstraction levels, from physical models with distance and timing to aggregate models, including a hospital emergency department where space, traversal time, and absence of congestion matter.
Periodically reassess the abstraction level, starting high and adding detail as needed, with system dynamics for strategic modeling, discrete event modeling for process centric, and agent based modeling for variability.
Learn system dynamics by identifying variables and drawing causal loop diagrams to analyze balancing and reinforcing feedback, mapping advertising and word of mouth effects on sales and potential customers.
Model discrete events by treating a system as a flowchart of operations, with source blocks, sinks, and queues. Analyze resource utilization, waiting times, queue lengths, and system throughput.
Identify objects and define their behaviors to build agent-based models from the bottom up. Simulate epidemics or supply chains, where orders drive state changes across warehouses, production, and transport.
Learn Java basics for AnyLogic by understanding data types, case sensitivity, and variable naming; explore operators, control structures, loops, and distributions used in simulation modeling.
Build a bank service model in AnyLogic using discrete event modelling, featuring an ATM, tellers, queues, and 3D visualization of utilization and wait times.
Build an agent-based model of a solar panel production line in AnyLogic, detailing conveyor layout, production stations, resources, AGV transport, and batch unloading to simulate flow and finishing.
Explore additional resources for AnyLogic simulation modeling, including tutorials, the AnyLogic in three days book, the big book of simulation, models in the AnyLogic cloud, YouTube channels, and LinkedIn connections.
Welcome to the "Beginner's Guide to Simulation Modeling with AnyLogic" course, designed for those eager to embark on a journey into the dynamic world of simulation. This comprehensive program is tailored to introduce participants to the fundamental principles and practical techniques of simulation modeling, utilizing the versatile AnyLogic platform.
Throughout the course, beginners will be guided through the intricacies of creating effective simulation models using both discrete event and agent-based modeling approaches. The curriculum focuses on demystifying the process of transforming real-world scenarios into dynamic simulations, allowing participants to gain hands-on experience in constructing, validating, and optimizing models.
The course begins with an exploration of the AnyLogic interface and basic functionalities, ensuring a smooth onboarding for those new to the platform. Participants will gradually advance to more complex topics, such as defining entities, modeling system behavior, and incorporating decision-making agents. Practical examples and interactive exercises will reinforce theoretical concepts, fostering a deeper understanding of simulation modeling.
As part of the learning experience, participants will have access to a wealth of resources for continued exploration and growth. Supplementary materials, including documentation, tutorials, and case studies, will be provided to support learners in their post-course endeavors. By the end of the program, participants will have not only acquired foundational skills in simulation modeling but will also be equipped with the resources needed to confidently pursue more advanced applications in their specific fields of interest. Join us on this educational journey and unlock the potential of simulation modeling with AnyLogic!