Ausweg Info Controls – Industrial Automation, Robotics & IIoT Solutions

Statistical Process Control (SPC)

Statistical Process Control (SPC) is a method of quality control that uses statistical methods to monitor and control a process. It helps ensure the process operates at its full potential to produce conforming products. By analyzing data collected in real-time, SPC identifies variations and helps in making data-driven decisions to maintain consistent quality.

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Description

No description available.

Specification

Real-time Data Collection: Captures process data continuously from machines or manual input.
Control Charts: Uses charts like X-bar, R, P, NP, C, and U charts to monitor variation.
Trend Analysis: Detects patterns or shifts in the process before defects occur.
Automatic Alerts: Sends alerts for out-of-control conditions.
Historical Data Analysis: Enables root cause analysis using past performance.
Integration: Can be integrated with MES, SCADA, or ERP systems.
Compliance: Supports quality standards like ISO 9001, Six Sigma, etc.

Application Scenarios

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Description

Real-time Data Collection: Captures process data continuously from machines or manual input.
Control Charts: Uses charts like X-bar, R, P, NP, C, and U charts to monitor variation.
Trend Analysis: Detects patterns or shifts in the process before defects occur.
Automatic Alerts: Sends alerts for out-of-control conditions.
Historical Data Analysis: Enables root cause analysis using past performance.
Integration: Can be integrated with MES, SCADA, or ERP systems.
Compliance: Supports quality standards like ISO 9001, Six Sigma, etc.

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