Digital Twin Development and Deployment

Industry leaders around the world rely on the insights and efficiencies that come from using digital twins developed in AnyLogic.

A powerful platform for designing and deploying digital twins, AnyLogic leverages its unique general-purpose multi-method simulation capabilities to combine dynamic models with operational data to provide advanced analytics and decision support.

The two key elements of a digital twin are a dynamic simulation model and data that reflects the current state of a live system. With the model and the data, it is possible to build powerful digital twin software for experimentation, analysis, and communication, so that you can ask what-if questions, understand system behavior, and verify at multiple levels.

Digital twin technology helps secure and develop business processes, with industries such as manufacturing and supply chain already enjoying their benefits. It provides insights that are easy to understand and to communicate – helping to establish trust and support decision-making.

Why use a digital twin?

Using a digital twin enhances insight and understanding of how your systems work and interact, helping evaluate parameters and interdependencies. As a virtual environment, a digital twin also allows low-cost and no-risk possibilities for experimentation. The main reasons for using a digital twin are based on them providing:

  • 01

    system insight

    Inspect how processes are operating and how they interact. See how resources are being utilized and understand workflows. For example, a digital twin for improving project management at a turbine manufacturer.

    case study

  • 02

    what-if analysis

    Test ideas and explore possibilities for your processes and systems and see how they perform based on current or historical data. For example, digital twin simulations that help manufacturing maintenance decision making.

    case study

  • 03


    A digital twin model can output statistics and provide visuals, including 3D animations, to help verify analyses, increase understanding, and more easily communicate findings and proposals. For example, a simulation based digital twin for well construction process optimization.

    case study

Why use AnyLogic?

AnyLogic is a powerful tool for creating and integrating a digital twin.

  • Proven application in a variety of industries

    As a result of the comprehensiveness and customizability of AnyLogic, it is the de-facto simulation platform for Fortune 500 companies across the globe. The familiarity of these businesses with AnyLogic is advantageous to practitioners looking to develop digital twins for these companies. To learn more, see customer presentations from our annual conference and find out about their experiences and use cases.
  • Multi-method modeling

    Combining agent-based, discrete event, and systems dynamics modeling for general-purpose simulation is a unique feature of AnyLogic used by world-leading companies and across industries. The multi-method modeling capabilities of AnyLogic mean systems can be modeled efficiently and appropriately, without compromise.
  • Open API and programming capability

    AnyLogic models are fully extensible at code level, providing unlimited modeling capabilities. A model can be configured from an external data source when it is run, which means that you can change the whole model structure by simply changing the input data. As a result, modelers have the freedom to choose and reuse the most appropriate methods for their projects, and simulations can also fully configure themselves using connected data.
  • AnyLogic Cloud

    The AnyLogic Company is the only simulation vendor with a fully functional Cloud platform. AnyLogic Cloud helps model deployment by providing parallel model execution, easy sharing, and an open RESTful API. AnyLogic offers cloud access via subscription or private installation, with a choice of platforms either from cloud service providers or in-house.
  • Ease-of-use

    AnyLogic allows the use of visual modeling languages, scripting, and extensibility. Native support for flowcharts, state-charts, action charts, and stock and flow diagrams help ease the development process, while native support for scripting gives simulation model developers more freedom.

Learn how to create a self-configuring material handling digital twin from this webinar recording with an accompanying simulation model.

Presented by Dr. Benjamin Schumann in three chapters, the webinar covers how to automatically configure machines, products, conveyors, and automatic guided vehicles (AGV). Benjamin Schumann, Ph.D., is a simulation expert with over ten years of experience applying simulation and AnyLogic.

Digital twin case studies

An Introduction to Digital Twin Development

From this white paper, learn more about how digital twins are created, deployed, and used.