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
API Access
Has API
Integrations
PI Vision
dataPARC Historian
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Billing & Invoicing
Calibration Management
Dispatch Management
Inventory Control
Inventory Management
Key & Lock Management
Mobile Access
Planning Calendar
Predictive Maintenance
Preventive Maintenance
Purchasing
Scheduling
Service History Tracking
Technician Management
Work Order Management
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Product Features
Oil and Gas
Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management