PULP & PAPER

APERIO enables maximum value through digitalization and agility to meet changing market needs

Meet Changing Market Demand with Agility

As demand for raw materials, corrugated boxes for packaging, and recyclable products grows, the pulp and paper industry will need to employ digitalization to optimize integrated operations, product quality, and productivity. And while consumer priorities change, the need for accurate, reliable operational data remains the same.

Impact of High Data Quality

Improved uptime of paper machines (~21 days between failures)

10000

Avoided cost of a paper machine downtime

A DQI higher than this can improve OEE from 60% to 85%

# Advanced models that fail due to low DQI

APERIO Use Cases in the Pulp & Paper Industry

Below are some use cases where APERIO DataWise is being deployed in the Pulp & Paper industry.

+ Perform Data Validation at Scale

Measure, track, and improve data quality fleetwide by resolving critical data issues, especially those errors in historian data. Follow smart workflows, root cause analysis, and pattern recognition to continuously validate data in connected sources.

Fleetwide Data Validation

+ Monitor Sensor Health

Eliminate connectivity errors, identify and fix calibration errors, prevent sensor drift, fouling, and tampering with automated alerting.

Sensor Health

+ Prevent Equipment Downtime

Reduce unplanned downtime and optimize OEE through real time asset monitoring. Detect pipe corrosion, HX fouling, and rotating equipment failures early by monitoring vibration, flow, and pressure data.

Sensor Health

+ Optimize the Process State

Employ advanced process control, based on complete and accurate data, to optimize operating conditions. Maximize production capacity and higher product yield using live validated data.

Advanced Models

+ Empower the Operator

Maximize operator efficiency through improved visibility and data-driven decision making. Ensure plantwide safety, regulatory compliance, and operational readiness, based on validated data.

Operator Effectiveness

+ Accurately Report Sustainability Metrics

Ensure accuracy in measuring and reporting metrics against Net Zero goals. Use validated data to optimize energy, emissions, and resources.

Sustainability Reporting

+ Enable Digital Transformation

Apply validated data in advanced models: analytics, predictive maintenance, sitewide reliability models, optimization (ops, costs, OEE), AI, etc. to enable added value across the entire industrial data value chain.

Advanced Models

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The APERIO Difference

We connect to millions of data streams for all equipment and sensor types, without needing manual and custom configuration.

We utilize automated, unsupervised ML engines that assess data health and reliability, without manually defining rules or duplicating tags.

We measure, improve, and track data quality through smart work-flows, rigorous root cause analyses, and efficient pattern recognition.

We deliver verified data for confident data-driven decision-making, driving business value from the control room to the boardroom.

See what we're doing for your peers!

Customers across a broad set of industries deploy APERIO DataWise to detect data anomalies before they negatively impact their business.

Early Detection

Identify raw data issues to ensure they’re addressed before they impact business.

Dead Tags

Identify dead tags to improve efficiency and speed of data-driven decisions.

Sensor Failure

Discover and address sensor failure before it negatively impacts business.

Leak Detection

Detect process upsets before they lead to unplanned outages.

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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