SAS Production Quality Analytics Features

Agentic AI - Industrial IoT (1)

Device Discovery: Automatically and/or manually identify internet-enabled devices in the specified manufacturing areas.
System Integration: Connect disparate systems to form a unified intelligent manufacturing architecture.
Remote Access: Allows for remote control and modification of individual devices or systems.
Workflows: Design intelligent workflows for specified devices, such as automated adjustments and event triggers.
Hardware: Integrates with existing IoT hardware.
Dashboard: Has a centralized dashboard for users to interact with.

Aggregation: Consolidate manufacturing information from multiple sources
Data Models: Structure data using hierarchies to make it easier to use and manage
Propagation: Ability to trasnfer data between shop floor systems and software products
Data Collection: Provide features for manual and automated data collection
Cleansing: Process manufacturing information to remove errors and duplicated data

Process Automation: Automate processes for individual devices or unified systems.
Security: Offers assistance with factory security.
Safety: Offers assistance with employee, product, and equipment safety.
Environmental Conditions: Observe and respond to environmental changes.
Resource Optimization: Improves resource utilization across connected devices.
Product Quality: Assists with overall improvement of product quality and volume.
Predictive Maintenance: Provides timely insights into equipment health and conditions for proactive maintenance.
Analytics: Provides pre-built or customizable performance reports.