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Average Ratings 0 Ratings
Description
Enhancing reliability, performance, and safety stands as a primary focus for industrial enterprises and businesses in the current landscape. Organizations are channeling their resources and efforts into managing expenses effectively while striving to maximize value from their existing assets. AVEVA Predictive Analytics empowers these organizations to achieve optimal returns on essential assets by facilitating predictive maintenance (PdM) initiatives. The AVEVA Predictive Analytics solution offers advanced early warning notifications and diagnostics for equipment problems, potentially identifying issues days, weeks, or even months before they lead to failures. This proactive approach allows asset-heavy organizations to minimize equipment downtime, boost reliability, and enhance performance, all while decreasing operational and maintenance costs. Furthermore, AVEVA Predictive Analytics seamlessly integrates with various control and monitoring systems and supports deployment either on-premises or in a cloud environment. Its highly scalable architecture enables the monitoring of anything from a single asset to entire plants or even hundreds of remote assets spread across multiple locations, ensuring comprehensive oversight and management capabilities. Ultimately, this solution aids organizations in navigating the complexities of asset management in an increasingly competitive market.
Description
The Reliability Centered Maintenance (RCM) platform by BAE Systems offers a methodical way to enhance asset upkeep and set safe, optimal maintenance levels for intricate and essential assets. The RCM Toolkit aims to assist organizations in developing a cost-efficient maintenance plan that targets the primary reasons for equipment malfunctions, reduces risks related to safety, environmental issues, and operational disruptions, while also curtailing unnecessary maintenance efforts. Rather than solely depending on preventive maintenance or addressing issues post-failure, the RCM methodology employs a structured decision-making process that weighs risks, costs, and environmental considerations, ultimately prolonging the operational lifespan of the equipment. This comprehensive toolkit aids users in identifying and articulating the maintenance challenges, collecting essential data, specifying equipment functionalities and performance expectations, pinpointing functional failures, determining failure modes, documenting the implications of failures, and choosing maintenance strategies informed by the potential consequences of each failure. By systematically addressing these aspects, organizations can achieve a more reliable and efficient maintenance regime.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Aveva
Founded
1967
Country
United Kingdom
Website
www.aveva.com/en/products/predictive-analytics/
Vendor Details
Company Name
BAE Systems
Country
United Kingdom
Website
www.baesystems.com/en/product/reliability-centered-maintenance-software
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Product Features
Alternatives
Alternatives
No Alternatives