CHEMICALS

APERIO drives circularity of the entire supply chain for maximum value

CONNECT PEOPLE, PROCESSES, AND TECHNOLOGY

As chemical companies try to achieve greater performance in their pursuit to make better, more sustainable products (with perfect circularity), companies are investing in digital solutions that connect people, processes, and technology. A move towards more circular systems will require an abundance of real-time, trusted data to ensure safe and responsible operations, while mitigating operational and environmental risks. With operator-actionable data, APERIO DataWise helps customers:

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Save the minimum cost of a single equipment failure

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Save the cost of poor data quality, as a % of revenue

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Improve the productivity of data scientists

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Capture a fraction of net material cost savings due to circularity (0.001%)

APERIO Use Cases in the Chemicals Industry

Below are some sample use cases where customers are employing APERIO DataWise in chemicals applications.

Equipment Modeling

  • Real time asset modeling to reduce unplanned downtime and optimize OEE
  • Protect against replay attacks & other threats

Process Optimization

  • Optimize the process state: temperature profiles, energy mix and efficiency, pH readings, and yield management

Workforce Enablement

  • Maximize operator efficiency through improved visibility, knowledge transfer, and safety assurance

Sensor/SIS Detection

  • Reduce connectivity and calibration errors
  • Prevent sensor drift, fouling, and/or tampering

Real-Time Monitoring

  • Monitor vibration, flow, pressure for early detection
  • Track & report circularity (supply chain sourcing)

IT-OT Convergence

  • Keep assets, systems, and data secure
  • Validate OT-IT data, with diagnostics and reporting

See What We’ve Done for Your Peers

Top 20 Chemicals Company 1024 1536 APERIO

Top 20 Chemicals Company

Leverage validated data in its predictive maintenance and advanced analytics tools.

European Refining Company 720 1080 APERIO

European Refining Company

Customer had implemented automated tool to efficiently track energy efficiency, but the system did not yield actionable output due to data integrity issues. Engineers spend 10-20 hours/week in manual tasks.

Unlock the value of superior data

The future of your industrial data value chain is at your fingertips. Improve data accuracy, security, and value, for smarter business decisions based on real-time, trusted, superior data.

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