Aspen Production Record Manager

Improve batch performance and Process Order tracking in real-time and historical contexts with efficient data aggregation, on-line analytics and sophisticated visualization.

Manufacturing Traceability

Analyze with Greater Efficiency

Collect, build and store process data from historians or any ODBC data source for analysis and reporting by events.

Comply with Industry Standards

Aggerate process data into an event-based context within a fully ISA-88 compliant tool for batch control and definition.

Data Visualization in Batch Operations

Fast query and trending of the structured data for reporting, analysis and visualization across multiple sites.

Accelerate digitalization to achieve sustainability goals and drive operational excellence.

Get an OverviewGet StartedUpgrade Now

Applications

Batch Performance Management

Increase visibility and responsiveness to batch production problems through monitoring of important business metrics via dashboards, alerts and pattern matching.

5 videos in gallery

Centralized Performance Monitoring

Actively track key metrics and elevate the most severe alarms with real-time visibility into asset performance across your enterprise.

5 videos in gallery

Track and Trace

Trace the path taken by a product starting from raw materials to the finished goods.

0 videos in gallery

Related Content

State of Industrial AI 2021

This research report reveals how industrial organizations are adopting AI as part of their digital transformation.

Report

AI, IIoT, IoT, artificial intelligence, industrial internet of things

Aspen AIoT Hub™: The Cloud-Ready Infrastructure for Industrial AI

The AIoT Hub provides a cloud-ready, robust and highly scalable infrastructure for Industrial AI applications to realize the vision for the Self-Optimizing Plant.

Blog

ARC Report: The Convergence of Artificial Intelligence and Industrial IoT

The Convergence of AI and IIoT

This ARC Advisory Group report explains how AIoT is built for industrial companies looking for better ways to:

Report

How Data Historians Have Evolved to Make Industrial Data Actionable

Industrial organizations are sitting on a decades-old, massive double-edged sword: their data. Until now.

Article

MIT Technology Review: The Future Starts with Industrial AI

Digitalization in industrial facilities is critical to achieving new levels of safety, sustainability, and profitability—and AI is a key enabler for that transformation. Read this MIT Technology Revie...

Article

Picking the Brain of an Industrial AI Data Architect About AIoT

At AspenTech, we continue to hear that the need for Industrial AI has never been more urgent. Fred Bastien from Aspen’s AIoT team agrees. Read on.

Blog

Webinar: AIoT at the Edge: Why the Intelligent Edge will be Important for Successful Industrial AI Deployments

Why the Intelligent Edge Will Be Important for Successful Industrial AI Edge Deployments

As the industrial sector evolves from pure IIoT, which focused mainly on connecting assets, to AIoT where pervasive industrial intelligence is the key business driver. We are experiencing a compoundin...

On Demand Webinar