The Introduction of Statistical Process Control (SPC)
As we know, that statistical process control (SPC) is an effective method of monitoring a process through the use of control charts. Statistical process control (SPC) involves using statistical techniques to measure and analyze the variation in processes. Most often used for manufacturing processes, the intent of Statistical process control (SPC) is to monitor product quality and maintain processes to fixed targets. Statistical quality control refers to using statistical techniques for measuring and improving the quality of processes and includes statistical process control in addition to other techniques, such as sampling plans, experimental design, variation reduction, process capability analysis, and process improvement plans.
Statistical process control is used to monitor the consistency of processes used to manufacture a product as designed. It aims to get and keep processes under control. No matter how good or bad the design, That process control--SPC can ensure that the product is being manufactured as designed and intended.
Thus, SPC will not improve a poorly designed product's reliability, but it can be used to maintain the consistency of how the product is made and, therefore, of the manufactured product itself and its as-designed reliability.
A primary tool used for statistical process control (SPC) is the control chart, a graphical representation of certain descriptive statistics for specific quantitative measurements of the manufacturing process. The descriptive statistics are displayed in the control chart in comparison to their "in-control" sampling distributions. The comparison detects any unusual variation in the manufacturing process, which could indicate a problem with the process. Several different descriptive statistics can be used in control charts and there are several different types of control charts that can test for different causes, for example, how quickly major vs. minor shifts in process means are detected. And control charts are also used with product measurements to analyze process capability and for continuous process improvement efforts.
