Practical textbooks on simulation software written by AnyLogic developers and academic researchers.
A practical textbook on AnyLogic simulation software from its developers. The book is designed for use in self-education and in university.
This book 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 chapter from the book “Evolving Toolbox for Complex Project Management” is devoted to contemporary modeling and simulation techniques applied to complex project management.
The book covers the theoretical concepts and implementation techniques behind good simulation modeling, as well as their mathematical and statistical backgrounds.
Proceedings of the 2024 Winter Simulation Conference.
The materials cover various modeling approaches and the application of simulation across diverse fields.
These case studies showcase applications of simulation modeling using AnyLogic in diverse industries.
AnyLogic Cloud is a secure web platform for running simulation models. Use rich cloud-based experimentation capabilities, collaborate when developing and executing models, and deliver simulation results instantly, online.
Explore a wide range of AnyLogic models online. Dive into real-world applications, innovative approaches, and insights to enhance your modeling expertise.
Enterprise Simulation is a step towards a Digital Enterprise. With AnyLogic users can build models of a business, then seamlessly deploy them to AnyLogic Cloud and integrate them into operational workflows.
In this video from our 2024 conference, you may learn about the possibilities of online model editing in AnyLogic 9—the next generation of AnyLogic software. Slides are also available as aPDF.
AI and simulation have immediate potential to strengthen their synergy, particularly in three key areas: synthetic data, ML testbeds, and reinforcement learning.
Learning in the real world risks injuries, property damage, or legal constraints. While simulations offer a safe, controlled, and repeatable environment to observe the impact of small changes.
A trained ML model can be integrated into an AnyLogic simulation to evaluate or leverage its predictive capabilities. AnyLogic supports multiple runtime connection options, regardless of the language used to train the model.
Simulation models can generate unlimited, clean, structured, and labeled training data for ML. The process involves running multirun simulation experiments and recording results in ML-ready formats. AnyLogic offers flexible options to execute models and store outputs in a preferred repository.
The white paper explores AI technologies in simulation modeling, provides practical and industrial examples, and demonstrates the powerful synergy between simulation and artificial intelligence.
The case studies highlight how AI and simulation modeling with AnyLogic are applied across various fields.
During this insightful webinar, Andrei Borshchev (CEO and co-founder of AnyLogic) and Luigi Manca (Director of Simulation & Decision Science Practice at ENG) examined the potential of AI in business. They emphasized the importance of human perspective in today's complex decision-making landscape, and demonstrated why simulation modeling remains vital for unpacking real-world dynamics, testing strategic choices, ensuring transparency and trust.
The materials cover supply chain design and optimization approaches across diverse fields.
The case studies showcase applications of supply chain design and optimization using anyLogistix.
Dive deep into supply chain design and optimization with our webinars. They cover various topics, including supply chain digital twins, network optimization, and risk analysis.
Demos and How-To videos cover the main features of anyLogistix software, such as greenfield analysis, network optimization, production capacity planning, what-if scenarios, and more.
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