QiO FORESIGHT MAINTENANCE


Increase Asset Utilisation

Ascend Performance

Manufacturers’ service recommendations are typically fixed, schedule-based procedures that don’t adjust to real-world operating environments. You’ve adjusted and optimised your maintenance plans, yet unplanned downtime still occurs. Its impact can be significant to your operations and safety.

Foresight Maintenance enables you to take a more data-driven and collaborative approach to maintenance challenges. This application harnesses the power of advanced analytics and artificial intelligence to identify why and when a failure will happen in the future, then prescribe the recommended best course of action for your maintenance teams to be more productive, take safer actions and increase the asset lifetime.

Through advanced analytical insights and descriptive knowledge base you will significantly improve safety, lengthen equipment life, reduce reactive maintenance time and unplanned outages.


Benefits

  • Predict potential equipment failures with a high degree of accuracy

  • Prescriptive recommendations and actions to avoid unplanned downtime

  • Manage production impacts due to unexpected events from equipment failures

  • Integrate with your existing maintenance systems, such as IBM Maximo



Accurately predicts equipment failure and prescribes recommendations to avoid unplanned downtime

Customer Success Stories


Helping Lloyd’s Register ensure the safety of LNG tankers through big data analytics.


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Helping Lloyd's Register identify stress-induced risks in ocean going tankers.


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Analytics lead to root-cause and reduce risk at Rolls-Royce.


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Predictive maintenance lowers cost, while improving performance.


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QiO

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