How to implement Statistical Process Control?

[ishanijerin1]

The implementation of Statistical Process Control is carried out based on the definition of control analyses and monitoring of internal processes during execution until the project is completed.

To facilitate the use of CEP within your business, IPOG costa rica mobile database highlighted the four points necessary for efficient process management . Check it out!

1. Define control charts
A control chart is a tool that transforms common and special variations into graphical representations. With it, data becomes visually easier to see and interpret.

In this process, the professional can establish a margin, and the peaks that are outside it can be considered as results of special variations, while the standardized results are consequences of common variations.

2. Consider the Ishikawa Diagram
The Ishikawa Diagram , also known as the Cause and Effect Diagram or Fishbone Diagram, is a graphical representation that guides discussions of problems. In practice, each “bone” has a consequence that, together, provide a certain effect.

This methodology helps not only to find, but also to organize and classify the causes of a given problem to find solutions to solve it.

3. Digitize information
Digitizing processes makes data collection easier and, consequently, makes the entire process control more dynamic. It is also possible to rely on specific management software to gather this information and analyze it more assertively.

This way, in addition to having everything updated in real time, control becomes more effective and avoids errors or loss of important data.

4. Set control limit points
To perform SPC (Statistical Process Control), it is necessary to establish a desired standard for the results. From there, the professional must create a graphical model that indicates the control limits.

In this way, they are calculated from process data and represent the actual performance of your process. These limits can be divided into:

Periodicity;
Sequence;
Trend.
Each of these control limits varies according to the company's reality, so there is no exact formula for implementing them. It is necessary to carry out an analysis based on the three points shown above and study the concept of CEP to apply it in the best way.

This helps to know which points can be controlled and which are beyond the scope of predictability. In the latter case, the calculation can help to reduce risks and minimize damage.