Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Achieve production targets and financial objectives while minimizing unexpected disruptions. Utilizing status dashboards and automated alerts, operations personnel and managers are informed of potential failures, granting them the opportunity to pinpoint and resolve issues before they escalate into expensive challenges. Transition to predictive and prescriptive maintenance approaches that tackle known failure points and declines in performance without incurring additional costs. By recognizing leading indicators of potential breakdowns, you can eliminate the need for expensive preventive part replacements that may not be necessary. Employ advanced analytics, data mining, and data visualization techniques to swiftly and accurately uncover root causes, revealing hidden patterns within the data. This enables you to troubleshoot performance problems more effectively and gain insight into their origins, allowing for rapid corrective measures to be implemented. Ultimately, this proactive approach not only enhances operational efficiency but also fosters a culture of continuous improvement within the organization.
Description
Utilize advanced pattern recognition and analysis tools to uncover distinct patterns within historical process data efficiently. Monitor performance and assess trends through real-time updates on production and process metrics, ensuring that information is always current. Enhance response times to issues by implementing alarms and notifications that alert users to any deviations from established process standards. Streamline the configuration of daily operations to facilitate enterprise-wide access to asset performance, accompanied by clear and concise alerts. Investigate and determine the primary causes of downtime on a batch basis, which contributes to reducing cycle times and maximizing utilization rates. By improving visibility into real equipment performance, organizations can decrease equipment failures and lower costs associated with rework. Additionally, measure Overall Equipment Effectiveness (OEE) metrics to pinpoint production deficiencies, allowing for targeted resource allocation towards potential performance enhancements. Ultimately, these strategies foster a more efficient and responsive production environment.
API Access
Has API
No
API Access
Has API
No
Integrations
Datatron
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
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
SAS
Founded
1976
Country
United States
Website
www.sas.com/en_us/software/asset-performance-analytics.html
Vendor Details
Company Name
Aspen Technology
Country
United States
Website
www.aspentech.com/en/products/msc/aspenone-process-explorer
Product Features
Product Features
Oil and Gas
Compliance Management
No
Equipment Management
No
Inventory Management
No
Job Costing
No
Logistics Management
No
Maintenance Management
No
Material Management
No
Project Management
No
Resource Management
No
Scheduling
No
Work Order Management
No