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Description
Origin is a cloud-based asset health and capital investment planning platform developed by Siemens for organizations managing buildings, facilities, equipment, and infrastructure. The software centralizes asset inventories, maintenance records, condition assessments, financial information, and capital improvement projects. Its AI-powered analysis uses historical maintenance information and asset behavior patterns to estimate remaining useful life and identify equipment at risk of failure. Built-in risk rankings help facility managers prioritize inspections, preventive maintenance, repairs, and replacements based on asset condition and operational impact. Origin provides facility health indexes that measure overall asset condition and highlight areas requiring additional investment. Its budgeting and forecasting capabilities help organizations compare funding requirements, estimate future capital expenditures, and evaluate the financial consequences of deferred maintenance. Integration with existing CMMS platforms connects work order histories and preventive maintenance records with long-term asset investment planning. The software also includes mobile facility condition assessments, project management tools, asset hierarchies, and customizable reporting dashboards. Origin supports manufacturing facilities, educational institutions, government agencies, healthcare organizations, and senior living communities seeking data-driven infrastructure planning and more effective allocation of maintenance budgets.
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
No
API Access
Has API
No
Integrations
Wellzesta
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
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)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Siemens
Founded
1847
Country
United States
Website
www.assetmanagement.siemens.com/products/origin
Vendor Details
Company Name
Ctrl2GO Global
Country
Russia
Website
ctrl2go.solutions/en/solutions/smart-maintenance/
Product Features
Product Features
EAM
CMMS
No
Energy Management
No
Equipment Management
No
Facility Management
No
IT Asset Management
No
Inventory Management
No
Maintenance Management
No
Parts Management
No
Preventive Maintenance Scheduling
No
Software License Management
No
Warranty Management
No
Work Order Management
No
Preventive Maintenance
Condition Monitoring
No
Inspection Management
No
Maintenance Scheduling
No
Mobile Access
No
Predictive Maintenance
No
Purchasing
No
Reminders
No
To-Do List
No
Vendor Management
No
Work Order Management
No
