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How digital twin transforms heavy equipment engineering performance

Siemens Theorist Siemens Theorist
Siemens Theorist

Greener, quieter, faster, lighter and more durable


Owners and operators of machines are looking to drive down the cost of ownership and to complete projects faster while being faced with tighter regulations.


The key question that manufacturers need to answer is how to increase machine capacity while also increasing fuel efficiency? And going deeper in the questioning, you can split your question mark into more engineering specific questions:

  • What is the influence of my decisions for energy management knowing that it will impact a variety of factors in development, from fuel consumption and emissions to powertrain choices and thermal system performance, such as HVAC and cooling systems?
  • How can I help your customers be more productive by delivering heavy equipment that can withstand higher loads and reducing downtime?
  • How can I improve product operability and efficiency, and help your heavy equipment customers reduce operational costs?
  • What is the best approach to optimize noise and vibration performance so to increase the comfort and safety of operators, passengers and bystanders, and to comply with market-mandatory regulations?Which development process will help my mechanical, performance engineering and software development departments to share more real-time information and knowledge to optimize the entire mechatronic system?


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We call this heavy equipment performance engineering. The results are clear and include benefits like:

  • Reduced development costs and reduced time to market through multi attribute balancing
  • Designed new machine generation thanks to new engineering technologies adoption
  • Developed digital twins that can predict the real world behavior of products throughout the product lifecycle


>> Curious about our expertise? Visit our website and download the infographic.

>> Want to know more? Check out this 30-minute webinar and opt for a new engineering approach