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
APM serves as a catalyst for the shift towards reliability-centered maintenance and risk-based inspections, utilizing advanced tools. This technical analysis emphasizes the application of asset performance management technologies within Industry 4.0, specifically tailored for the Power Generation sector. As we transition from a digitalization framework to full digital transformation, the Digital Twin emerges as a crucial component that provides predictive insights and streamlines daily operations, resulting in improved business performance. By examining the underlying technology, we can visualize and contextualize data precisely when and where it is necessary, enabling effective decision-making in operational, maintenance, and engineering domains. Furthermore, Digital Twins are essential in reconciling capital expenditures with operational expenses, ultimately reducing the overall cost of ownership while maximizing asset returns. This holistic approach not only enhances efficiency but also fosters a more sustainable and innovative operational environment.
API Access
Has API
API Access
Has API
Integrations
Aatmunn
Cortona3D RapidCatalog
Fuuz
Hyper Historian
Key Ward
MapsPeople
NSFOCUS RSAS
Panacea
Plex Manufacturing Execution System (MES)
Plex Production Monitoring
Integrations
Aatmunn
Cortona3D RapidCatalog
Fuuz
Hyper Historian
Key Ward
MapsPeople
NSFOCUS RSAS
Panacea
Plex Manufacturing Execution System (MES)
Plex Production Monitoring
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
Rockwell Automation
Founded
1903
Country
United States
Website
www.plex.com/products/asset-performance-management
Vendor Details
Company Name
Siemens Energy
Founded
2020
Website
www.siemens-energy.com/global/en/offerings/services/digital-services/asset-performance-management.html