What is SPC methodology?
Statistical Process Control (SPC) is an industry-standard methodology for measuring and controlling quality during the manufacturing process. Quality data in the form of Product or Process measurements are obtained in real-time during manufacturing.
Statistical quality control (SQC) is the application of the 14 statistical and analytical tools (7–QC and 7–SUPP) to monitor process outputs (dependent variables). Statistical process control (SPC) is the application of the same 14 tools to control process inputs (independent variables).
- Statistical quality control refers to the use of statistical methods in the monitoring and maintaining of the quality of products and services. One method, referred to as acceptance sampling, can be used when a decision must be made to accept or reject… Read More.
- Process Capability (Cp, Cpk) and Process Performance (Pp, Ppk) – What is the Difference? In the Six Sigma quality methodology, process performance is reported to the organization as a sigma level. The higher the sigma level, the better the process is performing.
- When the total CPK level is very high, it most often means there has been injury or stress to muscle tissue, the heart, or the brain. Muscle tissue injury is most likely. When a muscle is damaged, CPK leaks into the bloodstream.
Statistical process control (SPC) is a method of quality control which employs statistical methods to monitor and control a process. An example of a process where SPC is applied is manufacturing lines.
- Advanced product quality planning (or APQP) is a framework of procedures and techniques used to develop products in industry, particularly the automotive industry. It is quite similar to the concept of Design for Six Sigma (DFSS).
- SPC is method of measuring and controlling quality by monitoring the manufacturing process. Quality data is collected in the form of product or process measurements or readings from various machines or instrumentation. The data is collected and used to evaluate, monitor and control a process.
- Control Charts are a powerful statistical tool that may have many different applications. For example, they may be used to monitor key product variables and process parameters. They may also be used in the maintenance of process control and in the identification of special and common causes of variation.
Updated: 2nd October 2019