The Statistical Process Control was first introduced by Walter Shewhart in 1920. Shewhart first worked in BellΓÇÖs Telephone Company where he was given his first assignment to improve the audibility in the handsets manufactured by the company. In order to impress the government and the company Walter Shewhart scrutinized the whole process of production and made a small note of each step of manufacturing process. He noted down variations on the charts and tried to draw lines between normal variations and abnormal variations.

Basically normal variations are the result of normal cause like, change in weather, climate and man power change. Whereas abnormal variations are the result of abnormal changes in the process, like sudden machine break down, defect in the raw material, power hazards, chemical malfunction etc.

For a manufacturer it is necessary to remove the abnormal variation from the manufacturing process.

Why now a day Statistical Process Control is required?

It is required just to make sure that the industrial manufacturing unit has not to go through any undesirable change. As a matter of fact if you use the Statistical Process Control to avoid wastage of money, rework, time and it is another trick to deliver the product on time. Most of the industries are now adopting the process for betterment of quick and anomaly free product.

Let us talk about the eighteen months old case study of Nestle Maggi. The specific product of the brand is 25 years old and has its own monopoly in the market but quality test by Food Co-corporation if India had found some harmful ingredient ΓÇÿleadΓÇÖ the product and as a result Maggi was banned in many states of India. The company had to go through a loss. The loss could have been saved if Statistical Process Control was followed

Which Industries Use Statistical Process Control?

1.  Medical equipment manufacturing industry.
2. Machinery or equipment manufacturing industry.
3. Food industry.
4. Textile industry.
5. Chemical industry.
6. Tannery.

What are the benefits Statistical Process Control over old method?

The main and most prominent benefit of SPC over old method is that, it has reduced wastage of raw material, time etc. Whereas the old method of quality check required to take the final product as sample. So in order to get the final product, the industry first needs to invest the raw material, money and time to get the final product and if the final product is not satisfactory then the whole process of manufacturing has to repeat. Hence, SPC is the only way out that follows every step in the process of manufacturing of product. Statistical Process Control also reduces the external pressure on the manufacturing industries to meet the expectation of the clients.