• virtual simulation

    Simulation and optimisation - for less risk 
    in your operating processes

    Strategic manufacturing improvements using virtual simulations

    Optimisation from design to production through digital twin simulations

    Simulation and optimisation using the digital twin enables us to virtually model, analyse and optimise production processes. By creating a precise digital replica, also known as a digital twin, of your physical machines and systems, we can simulate complex production environments and virtually simulate and evaluate a variety of scenarios. This allows us to support both the design of complex machinery and the optimisation of processes during production. 

    One of the key applications of simulation and optimisation in the digital twin is the validation of hardware and software modifications and upgrades. Before you make physical changes to your production facilities, we can model them virtually and assess the impact on the performance and efficiency of your systems. This enables us to identify potential risks and bottlenecks at an early stage and take appropriate action to minimise unplanned downtime and ensure business continuity. This enables us to minimise the costs of implementing retrofits as far in advance as possible.

    Optimisation of the material flow through virtual modelling

    Simulation and optimisation in the digital twin also play a decisive role in optimising the material flow in production environments. By virtually modelling and analysing the material flow with a variety of influencing parameters, we can identify bottlenecks for you, eliminate bottlenecks and improve the efficiency of your production process. This enables you to optimise the use of resources such as stock, labour and transport and reduce production costs.

    Simulation and optimisation - your benefits at a glance

    Optimized Production Processes
    Optimisation of production processes

    By simulating different operating scenarios, you can identify bottlenecks, optimise inefficient processes and increase the overall performance of your production facilities. This leads to higher productivity and smoother operational processes.

    Fast decision-making

    With the ability to virtually model and evaluate different scenarios, you can make informed decisions and improve your responsiveness in ever-changing market situations. This enables you to react quickly to new requirements and adapt flexibly to changes.

    Reduced Downtime
    Minimise downtime

    By identifying potential problems and bottlenecks at an early stage, you can minimise unplanned downtime and ensure operational continuity. This leads to higher availability of your systems and improved customer satisfaction.

    Improving product quality

    By optimising your production processes, you can improve the quality of your products and reduce the number of rejects. This leads to more satisfied customers and a better reputation for your company.

    Cost savings
    Reduce operating costs

    By eliminating bottlenecks, optimising material and energy consumption and increasing the efficiency of your equipment, you can significantly reduce your operating costs. This leads to improved profitability and sustainable business success.

    FAQs Simulation and optimisation

    What is simulation and optimisation using the digital twin?

    Digital twin simulation and optimisation is an innovative technology that enables companies to virtually model, analyse and optimise their production processes. By creating an accurate digital replica of their physical machines and equipment, companies can simulate different scenarios and assess the impact of potential changes in advance.

    What types of companies can benefit from Digital Twin simulation and optimisation?

    Digital twin simulation and optimisation is applicable to companies in a wide range of industries, including manufacturing, automotive, aerospace, power generation, logistics and many more.

    How can Digital Twin simulation and optimisation help companies improve their operational processes?

    Through simulation and optimisation, we can identify potential bottlenecks and risks, optimise production processes, reduce operating costs, improve occupational safety and maximise the efficiency of their plants.

    What data is required for simulation and optimisation using the digital twin?

    Data requirements can vary depending on the specific needs and goals of the company. Typically, they include data on machine performance, material flow, operating parameters, environmental conditions and more.

    Is simulation and optimisation using the digital twin secure and compliant with data protection regulations?

    Yes, we attach great importance to the security and protection of our customers' data. Our solutions comply with applicable data protection regulations and industry standards to ensure the security of your data.

    How can I integrate simulation and optimisation with the digital twin into my existing systems?

    Our expert teams can help you seamlessly integrate simulation and optimisation into your existing systems and processes. We offer customised solutions that are specifically tailored to your company's requirements.

    What are the advantages of simulation and optimisation compared to traditional methods?

    Simulation and optimisation through the Digital Twin enables more accurate prediction and analysis of production processes, resulting in better decision making, lower operating costs and improved efficiency compared to traditional methods.

    Get in touch with us

    For more information about Digital Twin simulation and optimisation and how we can support your business, please contact us for a personalised consultation.

    Richard Stegmann

    Manager Digital Solutions
    Richard Stegmann