Unplanned outages can significantly disrupt production and cause customer dissatisfaction. They send costs soaring and bruise reputations. Join us as we demonstrate how companies can identify machine faults and take preventive action with T-Systems’ Predictive Maintenance Solutions.

Our approach is to firstly ensure all data collection capabilities are in place, through sensors, actuators and other devices. Secondly, we feed this data into an advanced modelling layer that incorporates the benefits of machine learning and artificial intelligence. This ultimately creates a smart industrial environment that continually fine-tunes your operations, provides deep visibility into the performance of each component, and generates accurate predictions – from which you can base decisions.

PREDICTIVE MAINTENANCE

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GET A ‘GLIMPSE INTO THE FUTURE’ WITH T-SYSTEMS’ PREDICTIVE MAINTENANCE SOLUTIONS

 

 With data modelling, industrial players can pre-empt maintenance issues, and embrace the power of machine learning.

Within industrial environments, transformation begins by moving from a ‘reactive’ approach to a ‘proactive’ one with regards to managing infrastructure. Most industrial equipment already has the capability to record key performance and maintenance metrics, but it’s only by harnessing the power of data modelling that you can transform data into a true competitive advantage. In fact, the benefits of predictive maintenance goes far beyond simply generating operational efficiencies.

By collecting and analysing real-time flows of data, industrial organisations can:

  • Save costs by optimally allocating resources, ensuring uptime, and pre-empting any failures – so you can order new parts to arrive when they will be required, for example.
  • Improve safety levels by knowing exactly when a failure is likely, or imminent – such as the brakes on a vehicle.
  • Increase the lifespan of industrial equipment by ensuring maintenance is delivered optimally.
  • Improve the management of SLAs and contracts, ensuring that commitments are always met.
  • Manage the complete lifecycle of an industrial environment, and more accurately calculate costs, profitability, output, and other key indicators. This ultimately leads to better budgeting and financial planning.
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