Statistical Process Control

statistical process control

The statistical process control uses appropriate statistical methods to control organizational processes. The significant objective of SPC is to increase the knowledge about processes, drive them in the desired direction, reduce the variation of the final product or service by improving the process performance. Additionally, the economic goal of SPC is to enhance the process outcomes from the limited resource inputs.
Effective implementation of SPC helps to reduce cost, increase profits, enhances consistency and reduces variation by optimizing the process parameters. With the help of SPC methods, an organization can assess the quality & consistency levels of organizational process, and trigger the necessary preventive actions through process adjustments. SPC provides an additional advantage of the reduction in troubleshooting cost and increases the speed of detection.
It also benefits the employees by enhancing their knowledge. SPC allows an employee to understand the causes that affect the organizational process and provides them an opportunity for improvement. SPC can be implemented by using various types of control charts such as –
  •         Average and Range chart.
  •         Individual and range chart.
  •         Medium and range chart.
  •         Percentage defective chart (p chart).
  •         Number defective char (np chart).
  •         The number of defectives chart (c chart).
  •         The number of defectives per unit chart (u chart).

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