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Average Ratings 0 Ratings
Description
Oracle's Enterprise Asset Management (eAM), a component of the E-Business Suite, equips businesses with essential tools for establishing and executing maintenance protocols for their assets and rebuildable inventory. These maintenance protocols are crucial to an organization's comprehensive asset lifecycle management approach, facilitating optimal asset utilization throughout their lifespan. eAM allows users to strategically plan and schedule maintenance tasks, ensuring that disruptions to operations or production are kept to a minimum. Additionally, it enhances resource efficiency, improves the quality of maintenance, maintains a detailed work history, and documents all associated maintenance expenses. By utilizing meters, quality plans, and condition monitoring systems, Oracle eAM effectively monitors asset performance, including that of rebuildable inventory items. This proactive tracking enables organizations to implement effective preventive maintenance strategies based on the asset's operational conditions, ultimately extending asset life and improving overall performance. Moreover, the integration of eAM into an organization's workflow fosters a culture of continuous improvement in asset management practices.
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
MP2
Nisoft Eclipse Suite
Oracle Cloud Maintenance
Oracle E-Business Suite
Prometheus Platform
Wipro STO
Integrations
MP2
Nisoft Eclipse Suite
Oracle Cloud Maintenance
Oracle E-Business Suite
Prometheus Platform
Wipro STO
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
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/a/ocom/docs/applications/ebusiness/oracle-enterprise-asset-management-data-sheet.pdf
Vendor Details
Company Name
Senseye
Founded
2014
Country
United Kingdom
Website
senseye.io
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
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