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WisSPC Statistical Process Control System

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A visual and intelligent analysis tool that integrates sampling, analysis, and alerting. It helps enterprises more easily and efficiently achieve real-time acquisition of quality data throughout the production process, rapid analysis, risk assessment, defect alerts, and quality traceability. It also includes MSA analysis for measurement data, helping enterprises establish real-time quality control systems.

Key Features

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- Multiple Data Acquisition Methods

PC applications, mobile applications, shop-floor dashboards, and edge-device drivers can all be quickly connected for analysis, enabling real-time access to quality data.

 

- Flexible Control Chart & Rule Configuration

Customize sample sources, control limits, subgroup sizes, and other control chart parameters and rule settings—configured once and used permanently.

 

- High-Efficiency Data Processing

Through distributed deployment with multi-node joint analysis and single-node streaming computation, millions of data points can be processed within seconds.

 

- Advanced Graphical Statistical Analysis

Eight rule-based anomaly detection criteria and nine types of common attribute/variable control charts can be extended into rich graphical statistical analysis modules for a variety of manufacturing scenarios.

 

- All-Round Quality Monitoring

Implement quality monitoring and risk alerts through unhandled timeouts, multi-channel message notifications, and automatic escalation of alert events.

 

- Strong Scalability & Easy O&M

The platform adopts a B/S architecture with no installation required—upgrades take effect immediately by updating the server, making maintenance convenient and scalability strong.

 

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Application Benefits


- Through quality data analysis and optimization, overall product quality is improved by 2%–8%.

- Automatic calculation and delivery of CPK and CP process capability metrics improve management efficiency by 10%–15%.

- Supports integrated enterprise management and operational decision-making, increasing decision accuracy by 20%–30%.

- Scientifically distinguishes between normal and abnormal variation during production processes.

- Significantly reduces product defect rates and lowers rework-related costs.

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