Factova SPC

A statistical process control system for CTQ management

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

WHY

Why Is It Needed?

Most defects that occur lead to scrapping or rework, which translates directly into cost losses. A quality management framework is therefore needed that goes beyond simple pass/fail judgment to statistically manage CTQ measurements (thickness, strength, etc.) and respond before they become defects.

Factova SPC collects inspection data in real time from inspection and measurement equipment, without separate site visits or data processing, and quickly detects signs of abnormality so action can be taken in time.

WHERE

Where Is It Used?

Target industries: semiconductors/displays, medical devices, batteries, chemicals/materials, etc.

Any manufacturing industry that needs mid-process quality inspection, whether because precision processes turn even small deviations into defects or because high manufacturing costs make defects expensive

Target Customers

Companies moving from inspection-centered QC to a data-based process control framework Production/quality organizations that need cost reduction through lower defect rates and improved yield

KEY CAPABILITIES

4 Key Points of Factova SPC

01 Inspection and Measurement Data Collection

Standardization and consistency validation of inspection/measurement equipment data

02 Real-Time Abnormality Detection

Rule-based real-time abnormality detection using SPC statistical techniques

03 Process Control

Process control through automatic control limit revision and process capability indices

04 Related System Integration and Interlock

For critical abnormalities, interlock the causing equipment/product, integrate with related systems, and act according to the action plan

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

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Anomaly Notification

OCAP Process Anomaly Intake Anomaly Response Procedure Guide Action Execution Integration

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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