Twitter

Service Optimization

Connected products developed at the forefront of digitalization allow you to optimize service operations in ways never seen before. Digital Twins of the product and each fielded asset gives you the possibility to analyze the performance of assets in real-time and predict their future performance. Thus, you will have the ability to avoid unplanned downtime and minimize downtime caused by planned maintenance.

Taking the Digital Twin approach allows you to capitalize on the re-use of product knowledge from engineering and manufacturing to improve service planning and execution. Effective service plans drive service operations by providing all the detailed information that field service teams need to track and understand asset health.

By leveraging IoT technology, you can gain insight on asset usage in real-time. Feed the data into your system performance simulation models and begin predicting the remaining life of critical components with confidence. Through data analytics, corrective actions can be applied ahead of unanticipated asset failure. Then provide field technicians with a complete understanding of service needs based on your service plans so they are prepared to perform proactive, reactive, and upgrade service activities with optimal timing.

Feed the asset performance data also into your product development process to help your development teams improve designs or service procedures. This closed-loop solution approach will help you lower maintenance costs, reduce risks, and improve asset resiliency, resulting in less downtime and improved results for your customers.

Learn more on Teamcenter SLM

Give us a few minutes! We would love to tell you more about our solutions.

Send us your details and we will contact you. Thanks!

Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input

Selection of Customer CASES

  • TAMK
  • Laitila Tooling
  • Polar Electro
  • Bronto Skylift
  • Konecranes
  • Jucat
  • Toijala Works
  • Suhmuran Metalli
  • Harju Elekter Groups
  • Turku AMK
  • TAMK
  • Hesplan Oy
  • University of Oulu
  • Logset Oy
  • Bronto Skylift
  • Jucat
  • Bronto Skylift
  • SeAMK
  • SeAMK
  • Seco Tools