UDMTEK

UDMTEK Platform

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UDMTEK Platform

Discover how UDMTEK Platform enhances productivity, improves quality, and maximizes equipment efficiency in smart manufacturing

UDMTEK Platform empowers smart manufacturing with intelligent data integration and predictive analytics. Key benefits include:

Increased Equipment Uptime & Reduced Downtime
Improved Productivity & Delivery Compliance
Proactive Quality Management & Defect Reduction
Root Cause Analysis with Visual Insight
Operational Efficiency & Data-Driven Decision Making

Key Functional Features

Equipment Type

Smart Equipment Monitoring & AI-Driven Maintenance for Maximum Uptime

Real-Time Equipment Monitoring

Instantly view operational status (running/stopped/alarms)
Track performance metrics like cycle time, throughput, and alerts by machine

Predictive Maintenance

AI analyzes PLC and sensor data to detect signs of wear or failure
Early warning notifications minimize unexpected downtime

Asset Life Management

Automatically calculates remaining life based on usage history
Visual indicators (Normal / Warning / Critical) for timely part replacement

Layout-Based Visualization

View equipment status directly on factory floor layouts
Click on positions to see component conditions and failure logs

Ladder/Gantt-Based Signal Analysis

Visualize PLC control logic for in-depth alarm root cause tracing
Replay past data to pinpoint when and why failures occurred

Production Type

Smart Production Monitoring for Real-Time Visibility, Efficiency, and Control

Real-Time Production Monitoring

Dashboard view of line status including production quantity, uptime, and alarms
Key metrics like target vs. actual, yield rate, and OEE at a glance

Plan vs. Actual Analysis

Compare production plans and results by line, process, or time period
Visualize daily/weekly/monthly KPI trends including yield and achievement rate

Cycle Time Tracking & Anomaly Detection

Analyze actual cycle times vs. targets to detect bottlenecks and delays
View min/max/average cycle times per process

UPH, CPK & Quality KPIs

Access key indicators such as Units Per Hour (UPH), and Process Capability Index (CPK)
Balance production speed with quality control

Historical Production Records

Track full production history by item and line
Use past data to identify trends and improve planning

Quality Type

Smart Quality Control Powered by AI Prediction and Real-Time Data Analysis

AI-Based Quality Prediction

Predict pass/fail outcomes using historical inspection data
Detect abnormal patterns via deep learning models like CNN Autoencoder

Automated Root Cause Analysis

Automatically analyze related process, equipment, and signal data when a defect occurs
Visualize root causes through ladder and logic chart tracing

Master Pattern-Based Judgment

Learn normal cycle patterns and detect deviations from standard operations
Identify subtle timing or value errors in both digital and analog signals

Optimal Condition Recommendations

Suggest the best operational parameters based on defect causes
Reduce quality variance and ensure consistent output

Visual Quality Insights

View predictive graphs and KPIs by process and time
Real-time dashboards help teams monitor and respond quickly to quality risks

Equipment Type

Smart Equipment Monitoring & AI-Driven Maintenance for Maximum Uptime

Real-Time Equipment Monitoring

Instantly view operational status (running/stopped/alarms)
Track performance metrics like cycle time, throughput, and alerts by machine

Predictive Maintenance

AI analyzes PLC and sensor data to detect signs of wear or failure
Early warning notifications minimize unexpected downtime

Asset Life Management

Automatically calculates remaining life based on usage history
Visual indicators (Normal / Warning / Critical) for timely part replacement

Layout-Based Visualization

View equipment status directly on factory floor layouts
Click on positions to see component conditions and failure logs

Ladder/Gantt-Based Signal Analysis

Visualize PLC control logic for in-depth alarm root cause tracing
Replay past data to pinpoint when and why failures occurred

Production Type

Smart Production Monitoring for Real-Time Visibility, Efficiency, and Control

Real-Time Production Monitoring

Dashboard view of line status including production quantity, uptime, and alarms
Key metrics like target vs. actual, yield rate, and OEE at a glance

Plan vs. Actual Analysis

Compare production plans and results by line, process, or time period
Visualize daily/weekly/monthly KPI trends including yield and achievement rate

Cycle Time Tracking & Anomaly Detection

Analyze actual cycle times vs. targets to detect bottlenecks and delays
View min/max/average cycle times per process

UPH, CPK & Quality KPIs

Access key indicators such as Units Per Hour (UPH), and Process Capability Index (CPK)
Balance production speed with quality control

Historical Production Records

Track full production history by item and line
Use past data to identify trends and improve planning

Quality Type

Smart Quality Control Powered by AI Prediction and Real-Time Data Analysis

AI-Based Quality Prediction

Predict pass/fail outcomes using historical inspection data
Detect abnormal patterns via deep learning models like CNN Autoencoder

Automated Root Cause Analysis

Automatically analyze related process, equipment, and signal data when a defect occurs
Visualize root causes through ladder and logic chart tracing

Master Pattern-Based Judgment

Learn normal cycle patterns and detect deviations from standard operations
Identify subtle timing or value errors in both digital and analog signals

Optimal Condition Recommendations

Suggest the best operational parameters based on defect causes
Reduce quality variance and ensure consistent output

Visual Quality Insights

View predictive graphs and KPIs by process and time
Real-time dashboards help teams monitor and respond quickly to quality risks

Unified, AI-Powered Platform for Smart Manufacturing Operations

All-in-One Smart Factory System

Manage production, quality, and equipment data all in one platform for total visibility and control.

AI-Powered Prediction & Anomaly Detection

Use time-series algorithms and deep learning to detect defects and failures before they happen..

Cross-System Root Cause Analysis

Automatically connect data across equipment, processes, and quality to visually trace and diagnose root causes.

Real-Time Monitoring & Dashboards

Visualize factory, line, and equipment status with real-time dashboards that provide instant insight.

Flexible Integration with PLCs & Devices

Supports integration with major PLCs (Mitsubishi, Siemens, Rockwell, Omron, etc.) for seamless connectivity.

User-Friendly Interface

Designed with intuitive UX/UI to simplify complex data for both field operators and decision-makers.

All-in-One Smart Factory System

Manage production, quality, and equipment data all in one platform for total visibility and control.

AI-Powered Prediction & Anomaly Detection

Use time-series algorithms and deep learning to detect defects and failures before they happen..

Alarm Analysis Cross-System Root Cause Analysis

Automatically connect data across equipment, processes, and quality to visually trace and diagnose root causes.

Real-Time Monitoring & Dashboards

Visualize factory, line, and equipment status with real-time dashboards that provide instant insight.

Alarm Analysis Flexible Integration with PLCs & Devices

Supports integration with major PLCs (Mitsubishi, Siemens, Rockwell, Omron, etc.) for seamless connectivity.

User-Friendly Interface

Designed with intuitive UX/UI to simplify complex data for both field operators and decision-makers.

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