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Average Ratings 0 Ratings
Description
AMT4SAP enhances asset lifecycle management in conjunction with SAP’s maintenance management system, providing a crucial advantage for the sustainable success of mining operations. In the current landscape of the mining sector, it is essential to adopt improved strategies and tools to address the challenges associated with maintenance effectively. This solution is specifically tailored to integrate seamlessly with a miner’s pre-existing SAP infrastructure. It empowers users to efficiently manage maintenance costs and support lifecycle decisions, establishing logical connections to SAP that facilitate better operational alignment. Users can create and evaluate a range of scenarios, forecasts, and budgets by leveraging historical, real-time, and predictive data. Furthermore, AMT4SAP allows for the optimization of forthcoming activities, enabling a comprehensive understanding of their effects on inventory, labor, availability, and expenses, all without the necessity for work orders. Additionally, this tool supports the comparison of different strategic approaches concerning both cost and reliability factors. By accurately predicting components with extended lead times, businesses can minimize downtime, optimize working capital, and synchronize their processes effectively, ultimately leading to improved operational efficiency. The integration of AMT4SAP not only streamlines asset management but also fosters a proactive stance toward maintenance in the dynamic mining industry.
Description
Senseye PdM employs advanced proprietary machine learning techniques to anticipate potential asset failures before they occur. By automatically evaluating the performance of your machinery, Senseye can accurately forecast when maintenance should be performed. This allows maintenance teams to prioritize their efforts on the assets that require the most urgent care. With an easy-to-implement solution, organizations can reduce maintenance expenses while enhancing the accuracy of downtime predictions. Designed for scalability, Senseye PdM can accommodate any number of connected machines, whether large or small. The automated condition monitoring provides insights that emphasize only the most pertinent information. Users gain an understanding of how long their machinery is expected to operate before maintenance is necessary. The platform allows for the seamless analysis of tens of thousands of assets, providing a clear and ongoing indication of which machines need attention. Furthermore, Senseye ensures that industrial companies experience significant reductions in machine downtime, ultimately leading to enhanced operational efficiency and productivity.
API Access
Has API
API Access
Has API
Integrations
SAP Cloud Platform
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
RPMGlobal
Country
Australia
Website
rpmglobal.com/product/amt4sap/
Vendor Details
Company Name
Senseye
Founded
2014
Country
United Kingdom
Website
senseye.io
Product Features
Mining
3D Modeling
Cross Section Creation
Data Exchange
Data Storage
Exception Notification
Fence Diagrams
Log Map Creation
People Tracking
Pit Optimization Reporting
Risk Management
Volumetrics
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
OEE
Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
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