// ROBOTICS AND SMART FACTORIES TERM
Statistical Process Control
Statistical Process Control (SPC) is a method using statistical techniques to monitor and control a process to ensure it operates at its full potential and produces conforming products. It helps identify and address variations in production.
TECHNICAL DEFINITION
Statistical Process Control (SPC) is a quality control methodology that employs statistical methods, such as control charts, to monitor and analyze process variation over time, distinguishing between common cause and special cause variation to maintain process stability and capability.
BACKGROUND
Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical methods to monitor and control the quality of a production process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste scrap. SPC can be applied to any process where the "conforming product" output can be measured. Key tools used in SPC include run charts, control charts, a focus on continuous improvement, and the design of experiments. An example of a process where SPC is applied is manufacturing lines.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- SPC
- Process Monitoring
- Quality Control
USAGE NOTE
SPC helps identify and correct process issues before they lead to defects.
DEVELOPERS
Organizations developing technology related to Statistical Process Control.
Provides statistical software for quality improvement and data analysis, with strong features for Statistical Process Control (SPC) in manufacturing.
A global provider of real-time Statistical Process Control (SPC) software solutions for manufacturing quality and operational excellence.
Offers comprehensive software solutions for statistical process control (SPC), measurement system analysis (MSA), and quality data management in manufacturing.
Develops manufacturing analytics and SPC software solutions that enable manufacturers to monitor, control, and optimize their production processes.
A division of SAS, JMP provides interactive statistical discovery software used extensively in manufacturing for quality control, design of experiments, and statistical process control.
A global technology powerhouse that offers a range of industrial automation and digitalization solutions, including software with embedded Statistical Process Control capabilities for manufacturing operations.
A global leader in industrial software, offering solutions for manufacturing operations management (MES) and quality assurance that leverage Statistical Process Control for process optimization.
Provides industrial IoT platforms and software solutions that enable manufacturers to connect, monitor, and manage operations, often incorporating data analysis and Statistical Process Control for performance improvement.
A leader in analytics software and services, providing advanced statistical tools and platforms that enable enterprises to implement sophisticated Statistical Process Control and quality management systems.