If you are looking for the procedure that can help you in monitoring the behavior of particular process, then you should know the statistical process control. Knowing sufficient information regarding this process will come in handy especially if you are the type of a person who always want his things fully organize and in order.

The use of the statistical process control or the SPC was discovered and has been fully developed in the 20’s by Walter Shewahart. As more people have realized the use and the many benefits that this process can provide, the demand for the information of this process has soared high.

The most successful and popular tool that is use in the SPC is the control chart. These charts are effective in recording various data and are allowing you to see unusual and unexpected events such as high or low type of observation when compare to the regular process performances.

The control charts are also useful in distinguishing the two types of the variation procedures:

• The common variation cause which is the essential to the given process and should always be visibly present.
• The special variation cause that stems from the outside source and is indicating that the said process will be out of the statistical control.

With the help of different tests, you can determine whenever an out of control situation has taken place. But you should also be reminded that the more employed tests, you will also be subject to more probability of the false alarm as it will also increase.

Short history and background:

The use of the control chart has increased during the World War II within the US to ensure that the quality of the ammunitions and of the other essential products. However, after the war, the use of these charts has also diminished, but it was still in great effect in most parts of Japan and is still used as of the present time.

Most SPC methods are rediscovered by the American firms in the following years; most particularly of these are the components of the quality of the improvement of such initiative like the Six Sigma. The widespread usage of the control charting techniques has been successfully assisted by the statistical software and has been more complicated data collection scheme.

As the technology has progressed, there are also other monitoring processes that have been also developed. Below are some of them:

• The Cumulative Sum—these are the charts that ordinates each of the plotted point which represent a particular algebraic sum of the prior ordinate as well as the recent deviations away from its target.
• The Exponentially Weighted Moving Average—these are the type of charts that effectively represent the average of the weighted of all of the current and existing subgroups values. This is providing much weight to the previous history of the process and the decrease in the weights of the older data.

The above mentioned facts and details about this process control will help you to fully understand what this procedure can do for you. As you can see, it has numerous benefits that it can provide once you fully comprehend it.