Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
SAP Cloud Platform
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
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
No
Cross Section Creation
No
Data Exchange
No
Data Storage
No
Exception Notification
No
Fence Diagrams
No
Log Map Creation
No
People Tracking
No
Pit Optimization Reporting
No
Risk Management
No
Volumetrics
No
Product Features
IoT
Application Development
No
Big Data Analytics
Yes
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
Yes
Device Management
Yes
Performance Management
Yes
Prototyping
No
Visualization
Yes
OEE
Benchmarking
No
Cost Tracking
No
Downtime Tracking
Yes
Historical Reporting
Yes
Performance Metrics
No
Quality Control
No
Real Time Reporting
Yes
Root Cause Analysis
No
Trend Analysis
Yes
Work Order Management
Yes
Preventive Maintenance
Condition Monitoring
Yes
Inspection Management
Yes
Maintenance Scheduling
Yes
Mobile Access
Yes
Predictive Maintenance
Yes
Purchasing
Yes
Reminders
Yes
To-Do List
Yes
Vendor Management
No
Work Order Management
Yes