Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In an interconnected process industry where historical data is scarce, the unpredictability of failures is a constant challenge. Our comprehensive monitoring solution identifies quality concerns, equipment malfunctions, deviations in operational modes, and irregular process behaviors. Rather than sifting through countless false alarms, we streamline this to deliver a maximum of five meaningful alerts daily. This allows for advance notifications of potential failures, ranging from a week to just 24 hours before they occur, eliminating unexpected disruptions during off-hours. Emphasizing proactive and planned maintenance not only enhances operational efficiency but also reduces costs. The unique demands of industrial assets necessitate an innovative approach; we seamlessly integrate your team's expertise with advanced machine learning technologies to create a tailored predictive monitoring system. With your existing sensors and data, implementation is swift; it only takes two weeks for a process engineer to outline the plant's structure and behavior, after which the software will be fully operational, paving the way for improved reliability and performance. This rapid deployment ensures that your operations will benefit quickly from enhanced monitoring capabilities.
Description
Utilize advanced pattern recognition and analysis tools to uncover distinct patterns within historical process data efficiently. Monitor performance and assess trends through real-time updates on production and process metrics, ensuring that information is always current. Enhance response times to issues by implementing alarms and notifications that alert users to any deviations from established process standards. Streamline the configuration of daily operations to facilitate enterprise-wide access to asset performance, accompanied by clear and concise alerts. Investigate and determine the primary causes of downtime on a batch basis, which contributes to reducing cycle times and maximizing utilization rates. By improving visibility into real equipment performance, organizations can decrease equipment failures and lower costs associated with rework. Additionally, measure Overall Equipment Effectiveness (OEE) metrics to pinpoint production deficiencies, allowing for targeted resource allocation towards potential performance enhancements. Ultimately, these strategies foster a more efficient and responsive production environment.
API Access
Has API
Yes
API Access
Has API
No
Integrations
PI Vision
No
dataPARC Historian
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
PreCognize
Country
United States
Website
www.precog.co
Vendor Details
Company Name
Aspen Technology
Country
United States
Website
www.aspentech.com/en/products/msc/aspenone-process-explorer
Product Features
Maintenance Management
Asset Tracking
No
Billing & Invoicing
No
Calibration Management
No
Dispatch Management
No
Inventory Control
No
Inventory Management
No
Key & Lock Management
No
Mobile Access
No
Planning Calendar
No
Predictive Maintenance
No
Preventive Maintenance
No
Purchasing
No
Scheduling
No
Service History Tracking
No
Technician Management
Yes
Work Order Management
No
Preventive Maintenance
Condition Monitoring
No
Inspection Management
No
Maintenance Scheduling
No
Mobile Access
No
Predictive Maintenance
No
Purchasing
No
Reminders
No
To-Do List
No
Vendor Management
No
Work Order Management
No
Product Features
Oil and Gas
Compliance Management
No
Equipment Management
No
Inventory Management
No
Job Costing
No
Logistics Management
No
Maintenance Management
No
Material Management
No
Project Management
No
Resource Management
No
Scheduling
No
Work Order Management
No