Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Identify patterns in operational data that can forecast deterioration and potential failures long before they occur. By employing accurate failure pattern recognition, you can reduce the frequent occurrence of false positives typically associated with traditional model-based approaches. Utilizing low-touch machine learning, you can swiftly distinguish between normal and abnormal behaviors, ensuring equipment protection starts within weeks rather than extending into months. The integration of Aspen Mtell with Aspen Cloud Connect™ provides connectivity to devices that support OPC UA. This method of recognizing operational patterns not only serves as an initial defense against asset decline but also enhances existing maintenance strategies through the deployment of AI-driven agents across various sites or throughout the entire organization. By focusing on precise failure pattern recognition, the challenge of high false positive rates in model-based solutions is effectively mitigated. Moreover, the rapid identification of operational behaviors facilitates timely equipment protection, ensuring that organizations can respond proactively to potential issues as they arise.
Description
The Cherrywork® Predictive Asset Maintenance Application is designed to lower, streamline, and enhance the costs associated with asset lifecycles at every stage, from initial investment planning and network configuration to procurement, installation, operational management, and eventual disposal or replacement. This innovative tool plays a crucial role in identifying unforeseen equipment failures that could jeopardize customer satisfaction and overall reliability. Clients have an expectation for advance notice regarding planned outages, allowing them to manage their consumption effectively. By leveraging this application, users can proactively maintain their assets, thereby avoiding potential penalties. It harnesses historical data from a variety of sources to create precise and verifiable predictive models, enabling the generation of forecasts and risk assessments. Additionally, the application combines data from online monitoring systems, weather forecasts, and various non-operational information such as operational guidelines, equipment specifications, and industry standards, providing a comprehensive approach to asset maintenance. Ultimately, this integration of diverse data sources enhances decision-making and operational efficiency.
API Access
Has API
API Access
Has API
Integrations
SAP Store
SAP Analytics Cloud
SAP Extension Suite
SAP Integration Suite
Integrations
SAP Store
SAP Analytics Cloud
SAP Extension Suite
SAP Integration Suite
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$30,000 one-time payment
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
Aspen Technology
Founded
1981
Country
United States
Website
www.aspentech.com/en/products/apm/aspen-mtell
Vendor Details
Company Name
Incture Technologies
Founded
2006
Country
India
Website
store.sap.com/dcp/en/product/display-0000053552_live_v1/Cherrywork%C2%AE%20Predictive%20Asset%20Maintenance
Product Features
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Product Features
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management