Statistical Process Control
A Statistical Process Control is a Quality Control that employs statistical methods to monitor and control a process.
- See: Rework (Electronics), Quality Control, Statistics, Scrap, Run Chart, Control Chart, Continuous Improvement Process, Design of Experiments, Inspection.
References
2022
- (Wikipedia, 2022) ⇒ https://en.wikipedia.org/wiki/Statistical_process_control Retrieved:2022-5-19.
- Statistical process control (SPC) is a method of quality control which employs statistical methods to monitor and control a process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste (rework or scrap). SPC can be applied to any process where the "conforming product" (product meeting specifications) 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.
SPC must be practiced in two phases: The first phase is the initial establishment of the process, and the second phase is the regular production use of the process. In the second phase, a decision of the period to be examined must be made, depending upon the change in 5M&E conditions (Man, Machine, Material, Method, Movement, Environment) and wear rate of parts used in the manufacturing process (machine parts, jigs, and fixtures).
An advantage of SPC over other methods of quality control, such as “inspection", is that it emphasizes early detection and prevention of problems, rather than the correction of problems after they have occurred.
In addition to reducing waste, SPC can lead to a reduction in the time required to produce the product. SPC makes it less likely the finished product will need to be reworked or scrapped.
- Statistical process control (SPC) is a method of quality control which employs statistical methods to monitor and control a process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste (rework or scrap). SPC can be applied to any process where the "conforming product" (product meeting specifications) 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.
2007
- (Oakland, 2007) ⇒ John S. Oakland. (2007). “Statistical Process Control.” Routledge,
2003
- (Benneyan et al., 2003) ⇒ J. C . Benneyan, R. C . Lloyd, and P. E . Plsek. (2003). “Statistical Process Control As a Tool for Research and Healthcare Improvement.” BMJ Quality & Safety, 12(6).
- QUOTE: ... Statistical process control (SPC) is a branch of statistics that combines rigorous time series analysis methods with graphical presentation of data, often yielding insights into the data more quickly and in a way more understandable to lay decision makers. SPC and its primary tool — the control chart — provide researchers and practitioners with a method of better understanding and communicating data from healthcare improvement efforts. This paper provides an overview of SPC and several practical examples of the healthcare applications of control charts. ...