Asset reliability insight and factors affecting performance

IBM Prescriptive Maintenance on Cloud focuses on the needs of reliability engineers to identify and manage asset reliability risks that could adversely affect plant or business operations. It applies machine learning to make industrial manufacturing, production processes, and products more efficient and dependable. It prescribes actions based on predictive scoring, identifies factors that positively and negatively influence asset health, and delivers a detailed comparison of historical factors affecting the asset performance.
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Insight for reliability engineers

Analyze operational data and visualize the results to help reliability engineers proactively identify and manage asset reliability risks that could adversely affect plant or business operations.

Optimize maintenance plans and resources

Identify which assets are over-, under- or well-maintained. Use prescriptive analytics to recommend optimum maintenance schedules with the goal of better utilization of maintenance resources.

Identify factors affecting performance

Employ machine learning to identify operational factors that positively and negatively affect performance. Use this information to improve maintenance practices to attain greater asset reliability.

Accurate understanding of performance

Ingest, aggregate and analyze a wide range of operational data– sensors, SCADA, telemetry, environmental, work order history – to develop models that identify potential asset degradation or failure.

Reduce implementation and IT costs

SaaS solution avoids added IT infrastructure costs; attractive to SMB and large enterprises; enables faster implementation; allows asset-intensive organizations to realize analytics benefits sooner.

Key features provide detailed insight into asset performance

  • Asset maintenance status
  • Drivers and risk factors
  • Compare asset performance
  • Machine learning

Security and privacy in the cloud

  • IBM enables companies to scale and adapt quickly to changing business needs without compromising security, privacy or risk levels when using IBM cloud offerings.

    Learn more about IBM Cloud security

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Machine learning
Machine learning
Compare asset performance
Compare asset performance
Drivers and risk factors
Drivers and risk factors
Asset maintenance status
Asset maintenance status

See how it works