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features
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support

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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.

Description

A comprehensive solution for monitoring and predictive analysis can enhance equipment condition tracking and streamline maintenance and repair processes. This involves utilizing predictive analysis to ensure production process quality and assess potential risks of exceeding maximum permissible loads through detailed unit operation evaluations. By implementing predictive analysis of unit conditions, emergency shutdowns can be effectively minimized. Furthermore, evaluating the quality of repair work by comparing equipment performance before and after servicing is critical for continuous improvement. The integration of automatic controls for manual repair and maintenance tasks enables efficiency and accuracy in operations. Additionally, predictive analysis aids in strategic maintenance and repair decisions while facilitating informed purchases of new equipment based on intelligent load balancing of current assets. Spare parts and consumables can also be optimized through intelligent failure predictions, reinforcing a proactive approach to equipment management. Overall, this solution supports a robust framework for enhancing operational reliability and efficiency.

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

BAE Systems

Country

United Kingdom

Website

www.baesystems.com/en/product/reliability-centered-maintenance-software

Vendor Details

Company Name

Ctrl2GO Global

Country

Russia

Website

ctrl2go.solutions/en/solutions/smart-maintenance/

Product Features

EAM

CMMS
Energy Management
Equipment Management
Facility Management
IT Asset Management
Inventory Management
Maintenance Management
Parts Management
Preventive Maintenance Scheduling
Software License Management
Warranty 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

Alternatives

No Alternatives

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