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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

Screenshots View All

Screenshots View All

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

Alternatives

Alternatives

No Alternatives
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