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Statistical process control. 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.
Statistical process control (SPC), despite its name, is much more common in discrete parts manufacturing and batch process control than in continuous process control. In SPC, “process” refers to the work and quality control process, rather than continuous process control.
Process capability index. The process capability index, or process capability ratio, is a statistical measure of process capability: the ability of an engineering process to produce an output within specification limits. [1] The concept of process capability only holds meaning for processes that are in a state of statistical control.
Manufacturing waste is an umbrella term for anything that requires resources but doesn’t add value for customers. Manufacturing waste can be grouped into two main categories:
Advanced product quality planning. Advanced product quality planning ( APQP) is a framework of procedures and techniques used to develop products in industry, particularly in the automotive industry. It differs from Six Sigma in that the goal of Six Sigma is to reduce variation, but has similarities to Design for Six Sigma (DFSS).
e. In the European Economic Area ( European Union member countries, Iceland, Liechtenstein and Norway), a supplementary protection certificate ( SPC) is a sui generis intellectual property (IP) right that extends the duration of certain rights associated with a patent. It enters into force after expiry of a patent upon which it is based.
Control charts are graphical plots used in production control to determine whether quality and manufacturing processes are being controlled under stable conditions. (ISO 7870-1) The hourly status is arranged on the graph, and the occurrence of abnormalities is judged based on the presence of data that differs from the conventional trend or deviates from the control limit line.
The Western Electric rules are decision rules in statistical process control for detecting out-of-control or non-random conditions on control charts. Locations of the observations relative to the control chart control limits (typically at ±3 standard deviations) and centerline indicate whether the process in question should be investigated for assignable causes.