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Manufacturing Operations Management

Factova FDC

A process management system for managing CTP and CTE

01 MES 02 iPharmMES 03 SPC 04 FDC 05 OCAP 06 RTS 07 RTD 08 RMS 09 AI Vision

WHY

Why Is It Needed?

Changes in process parameters such as equipment temperature and pressure affect equipment condition and process stability, and even minor fluctuations can lead to quality degradation.

FDC monitors process parameters in real time and detects abnormal patterns early. It performs TPD (Time Process Data) segment analysis to give a precise picture of equipment operating status.

WHERE

Where Is It Used?

Target industries: chemicals/refining, semiconductors/displays, medical devices, pharmaceuticals, aerospace, etc.

Manufacturing industries with many process parameters to manage Equipment-centric manufacturing where equipment condition directly affects quality

Target Customers

Companies where the process environment strongly affects product specs and precise recipe management is needed Companies that collect equipment data but have not connected it to analysis and use Companies at high risk of equipment failure and process downtime that need advance detection and response

KEY CAPABILITIES

FDC's 5 Key Points

01 Real-time process/equipment data collection

02 Data visualization for data analysis and key-factor identification

03 Anomaly detection modeling based on various statistical techniques

04 Real-time anomaly detection and process/equipment interlock

05 Integration with related systems and action per action plan

This shortens anomaly detection time and prevents equipment failures in advance, reducing scrap and improving process stability.

DETECT · ANALYZE · ACT

Factova SPC + FDC + OCAP

Factova links FDC, SPC, and OCAP to provide an end-to-end process management environment, from anomaly detection (Detect) and root-cause analysis (Analyze) to response execution (Act).

Process Anomaly Detection

SPC · Inspection and Metrology CTQ anomaly detection, defect anomaly detection

FDC · Equipment CTP anomaly detection, CTE anomaly detection

→

Anomaly Notification

OCAP Process Anomaly Intake Anomaly Response Procedure Guide Action Execution Integration

→

Process Event and Status Delivery

MES Anomaly Action Execution Action Status Update Anomaly Cleared

AI Assistant Built In

SPC AI Assistant Natural-language queries provide control chart analysis, process capability evaluation, term explanations, and process status summaries for a given period, helping you understand data intuitively.

Super Agent Integrates with SPC and FDC manuals, OCAP, and MES to enable root-cause analysis based on diverse data such as recipe change history, equipment events, and lot history.

IMPACT

Benefits

Before vs. After Deployment

Anomaly detection time

Before At least tens of minutes → After Real-time

99% ↓

Before vs. After Deployment

Scrap

30% ↓

Applied industries: displays, batteries, chemicals

CUSTOMER VOICE

Voice of the Customer

"Thanks to FDC's real-time anomaly detection, line stoppages are gone, and even chronic quality defects and delivery delays have been resolved."

Head of Production Operations, Display Manufacturer

WHY LG CNS

Why LG CNS

01 Integration of heterogeneous equipment/sensor data

Reliably collects and refines equipment and sensor data from various manufacturers and models, and validates consistency to provide a trustworthy data foundation.

02 Integration with related systems

Integration with MES, OCAP, and EMS enables process control and follow-up action when equipment or process anomalies occur.

03 Industry Reference-Based Capabilities

Based on FDC implementation experience across precision discrete and continuous processes, including displays and chemicals, it can be tailored precisely to each manufacturing environment.

REFERENCE

References

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