Case Study

Predict: Predictive Asset Maintenance

Case Studies

Our client, a large iron ore mining company in Australia, was developing an iron ore project comprising a mine, processing plant, heavy-haul railway and new port facilities. As part of their overall strategy, the client has a vision for an integrated asset management platform that would help them to achieve world-class asset reliability and performance. This platform would draw upon all available sources of condition monitoring information, enabling them to continually assess their asset’s health, anticipate the onset of failures, and make timely and informed proactive maintenance decisions to mitigate risks.

Outcome

Using our highly skilled maintenance experts who have significant experience in maintenance and asset reliability optimization, we delivered a robust and fit-for-purpose system platform using real-time data from field and equipment.

  • Delivered full implementation of the asset management solution including overall solution architecture, software technical installation and configuration, and integration with SAP PM and condition monitoring repositories.
  • Developed maintenance tactics for critical mine processing equipment and the integration of external condition monitoring systems and data historians to develop centralized asset health and performance monitoring.
  • Embedded best practice strategy development methodologies, including asset prioritization, RCM/FMEA/RBI/RCA and reliability strategy selector tools.
  • Delivered full EAM integration and strategy implementation capabilities, deployment of mobile technology solution for operators and technicians, and ongoing technical support, training, coaching and mentoring.

Client Benefits

  • A more cost-effective predictive maintenance approach based on the analytical outcome of blending field data, equipment data and plant engineering data.
  • A significant reduction in downtime as the predictive condition of the asset’s performance helps to produce a more efficient maintenance outcome.
  • Informed decisions around plant optimization, process safety and capital planning, due to the improved and timely access of critical asset information.
2017-03-13T22:33:13+00:00 November 18th, 2016|Case Studies, Predict Case Studies|