Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Introducing an advanced digital manufacturing platform driven by the Internet of Things, Datonis offers ready-to-use applications that facilitate monitoring, measuring, analyzing, and forecasting outcomes harnessing the capabilities of artificial intelligence. This platform adopts a holistic approach to integrate IT and operational technology systems, enabling the monetization of expertise through the development of new applications and services. The system includes interplant process benchmarking and predictive models for quality assurance, alongside real-time compliance checks for quality audits. It features alerts for process compliance, trends in Cpk, and monitoring of quality rejections and scrap, all while establishing correlations between processes and defects. The platform also provides alerts for checklist schedule violations, conducts trend analyses on checklist data, and offers a flexible framework for creating diverse types of checklists. Users can receive checklist notifications, log observations on mobile devices, and consult images and videos before making decisions regarding checklist items. Additionally, there is an interactive application for operators, enabling them to engage with the platform and track progress in real-time, while the operator workbench allows them to provide feedback, raise alarms, request assistance, and access engineering documentation as needed. This comprehensive integration not only enhances operational efficiency but also fosters a culture of continuous improvement within manufacturing processes.
Description
Quality AnalytiX® allows operators, quality assurance staff, manufacturing engineers, and management teams to access quality SPC data along with various production metrics that affect product quality. With an extensive array of built-in SPC calculations available, users can apply these to any process variable and seamlessly incorporate SPC data into expressions and logic to trigger corrective actions based on observed process trends. Utilizing ICONICS Hyper Historian™ technology for effective data gathering and analysis, Quality AnalytiX is designed to support extensive enterprise-level SPC quality initiatives as well as applications that demand high-speed sampling rates. By enabling the identification of trends and informed decision-making in real-time, the platform enhances production efficiency and reduces waste through built-in visual tools such as charts, graphs, and alarm notifications. Its advanced workflow capabilities allow for the initiation of control measures in response to quality metrics or alarm breaches, leading to adjustments in process equipment like PLCs, temperature controllers, and DCS systems. Overall, Quality AnalytiX not only streamlines quality management processes but also empowers organizations to improve their overall production quality effectively.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
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
Yes
iPad App
Yes
Android App
Yes
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Altizon Systems
Country
India
Website
www.altizon.com
Vendor Details
Company Name
Iconics
Founded
1986
Country
United States
Website
iconics.com/Products/Quality-AnalytiX
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
Yes
Templates
No
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
IoT Analytics
Activity Dashboard
No
Activity Tracking
No
Analytics
No
Asset Tracking
No
Data Collection
No
Data Synchronization
No
Data Visualization
No
ETL
No
Multiple Data Sources
No
Performance Analysis
No
Real-Time Analytics
No
Real-Time Data
No
Real-Time Monitoring
No
Status Tracking
No
Product Features
Quality Management
Audit Management
No
Complaint Management
No
Compliance Management
No
Corrective and Preventive Actions (CAPA)
No
Defect Tracking
No
Document Control
No
Equipment Management
No
ISO Standards Management
No
Maintenance Management
No
Risk Management
No
Supplier Quality Control
No
Training Management
No