Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Actively oversee the health of machines and plants to maintain maximum uptime, productivity, and address maintenance requirements effectively. Utilize the advantages of analytics along with Industrial IoT technologies to achieve a more comprehensive understanding of equipment on the plant floor, facilitating predictive maintenance capabilities. Keeping an eye on machine health is essential to minimize production interruptions that stem from unexpected failures and outages. By promoting predictive maintenance, the time required to assess machine health issues can be significantly reduced, while also enhancing the traceability of historical data. Integrate IT and OT data into a unified viewpoint to bridge the gap between plant floor information and MES data, thereby enabling more informed decision-making processes. Employ real-time data gathering and integrated analytics to monitor live data concerning machine health and performance, assess machines against optimal conditions, and issue early warnings about potential disruptions, which in turn helps in lowering overtime labor costs, scrap rates, emergency maintenance expenses, and adverse impacts on profit and loss. This comprehensive approach not only enhances operational efficiency but also fosters a culture of proactive management across the manufacturing process.
Description
Achieve production targets and financial objectives while minimizing unexpected disruptions. Utilizing status dashboards and automated alerts, operations personnel and managers are informed of potential failures, granting them the opportunity to pinpoint and resolve issues before they escalate into expensive challenges. Transition to predictive and prescriptive maintenance approaches that tackle known failure points and declines in performance without incurring additional costs. By recognizing leading indicators of potential breakdowns, you can eliminate the need for expensive preventive part replacements that may not be necessary. Employ advanced analytics, data mining, and data visualization techniques to swiftly and accurately uncover root causes, revealing hidden patterns within the data. This enables you to troubleshoot performance problems more effectively and gain insight into their origins, allowing for rapid corrective measures to be implemented. Ultimately, this proactive approach not only enhances operational efficiency but also fosters a culture of continuous improvement within the organization.
API Access
Has API
No
API Access
Has API
No
Integrations
Datatron
No
Plex Manufacturing Execution System (MES)
Yes
Plex Production Monitoring
Yes
Plex Quality Management System (QMS)
Yes
Plex Smart Manufacturing Platform
Yes
Integrations
Datatron
Yes
Plex Manufacturing Execution System (MES)
No
Plex Production Monitoring
No
Plex Quality Management System (QMS)
No
Plex Smart Manufacturing Platform
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
No
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
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Rockwell Automation
Founded
1903
Country
United States
Website
www.plex.com/products/asset-performance-management
Vendor Details
Company Name
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/asset-performance-analytics.html