Blog

Simulation modeling in 2025 is evolving rapidly. From AI integration and real-time digital twins to cloud collaboration and multimethod simulation, explore the top trends driving innovation and efficiency.

Discover how PwC navigates the intersection of SAP and simulation modeling for process optimization in manufacturing. Unpack technical challenges, innovative solutions, and prospects for production optimization.

For enterprises, it’s crucial to have tools for forecasting as well as monitoring, analyzing, and optimizing their operations to maintain a competitive edge in the market. Enterprise Simulation is a web-based application that shows data on a set of digital twins and can be used at the operational level. Learn more about this application and the role the AnyLogic ecosystem plays in developing it.

Enterprise simulation is not a new concept, however, in recent years, technology has enabled it to be used in a more specific way by incorporating simulation-based digital twins. PwC has enormous experience in this area and decided to share the steps that they have developed over many years for starting successful enterprise simulations.

What is a digital twin? What are its benefits? Is it applicable to my business? If these are the questions you're asking, you've come to the right blog post.

Learn about digital twins in business, how they are combined with simulation, and check out the on-topic case studies from various industries.

From our latest webinar learn about what custom libraries are and how they can be used in conjunction with enterprise simulation to improve the delivery of future projects.

The Christmas holidays are rapidly approaching and it’s time for the traditional sales. Besides the shopping rush and high sales, retailers also face problems caused by the growing volume of orders, deliveries, and returns. Simulation modeling can help retailers cope with these emerging challenges.

Accenture partnered with San Francisco based AI company Pathmind to investigate the potential of new reinforcement learning (RL) opportunities in simulation.

The results obtained were extremely good. The method produced a waiting time more than 4x shorter than the Nearest Agent heuristic.

In this blog post, Agustin Albinati summarizes the model, introduces the three key considerations when defining the neural net, and presents the results of his team's investigations. Linked at the end of the blog post is a step by step how-to with Pathmind. Read on!

Learn how to create a self-configuring material handling digital twin from this webinar recording with accompanying simulation model. Presented by Dr. Benjamin Schumann in three chapters, the webinar covers how to automatically configure machines and products, conveyors, and automatic guided vehicles (AGV).

Imagine receiving a call from Jeff Bezos — he wants you to simulate a...

The relationship between simulation and artificial intelligence is increasingly close, especially for deep reinforcement learning. The AnyLogic Company CEO, Dr. Andrei Borshchev, explores this trend in Using Simulation to Train and Test Artificial Intelligence for Business Applications, a presentation given at the GE EDGE & Controls Symposium 2019 in Niskayuna, NY.

Here is a brief summary of the video recording with links. Check it out and see how AI and simulation are developing together...