What is SPC (Statistical Process Control)?
Posted: Tue Feb 18, 2025 4:35 am
SPC (Statistical Process Control) emerged in the early years of the 20th century, when the engineer, physicist and statistician Walter Shewhart set up what would become the performance control we know today.
Years later, in the 1960s, statistician William Edwards Deming defined what follows as the principles of process quality management .
We refer to CEP as a way of measuring, monitoring and correcting the quality of internal processes, taking into account the idea of continuous improvement to deliver the best final colombia mobile database product to the customer.
The focus of this statistical control is to prevent and mitigate errors in internal processes . To do this, the engineer must consider indicators for each type of project and, in this way, monitor and analyze the results to determine necessary changes and improvements.
Benefits of SPC (Statistical Process Control)
Speed to identify and correct process failures;
Cost optimization during production;
Lower incidence of errors and rework rate;
Better use of resources;
More stable and standardized process;
Ease of control maintenance;
Increased team productivity ;
Reduction of delivery time;
Generating value for the product and service delivered to the customer;
Use of technology to monitor performance in real time;
Process more open to changes and improvements.
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Why is Statistical Process Control important?
With an increasingly competitive market, it is important that engineering professionals are aware not only of the technologies in the field, but also of management in order to become more valued in the market.
To achieve this, mastering SPC (Statistical Process Control) can be of great importance for the team and for the final delivery. With it, it is possible to increase the predictability of internal processes, ensure the quality of deliveries and avoid rework.
Furthermore, with the digitalization of services and the advancement of digital transformation, the CEP has become an increasingly accessible tool from an operational point of view. Implementation has proven to be less costly and, therefore, comes down to simply mastering the methodology.
In the end, all quality management becomes easier and more useful, which directly impacts both the reliability between the company and the client and how the engineering professional is seen when making decisions on the construction site .
When and how to use Statistical Process Control?
There is no right time to start using SPC (Statistical Process Control) . As we have shown here, the benefits are many. Therefore, this control is useful both for implementing changes when results are not satisfactory and for maintaining good team performance rates.
Therefore, every engineering company should consider this as one of the ways to monitor processes, but also to seek internal improvements in processes and teams.
To perform the CEP, the professional must have a data collection methodology already implemented and, subsequently, analyze these metrics. It is the manager's role to establish these KPIs and interpret each variation.
Years later, in the 1960s, statistician William Edwards Deming defined what follows as the principles of process quality management .
We refer to CEP as a way of measuring, monitoring and correcting the quality of internal processes, taking into account the idea of continuous improvement to deliver the best final colombia mobile database product to the customer.
The focus of this statistical control is to prevent and mitigate errors in internal processes . To do this, the engineer must consider indicators for each type of project and, in this way, monitor and analyze the results to determine necessary changes and improvements.
Benefits of SPC (Statistical Process Control)
Speed to identify and correct process failures;
Cost optimization during production;
Lower incidence of errors and rework rate;
Better use of resources;
More stable and standardized process;
Ease of control maintenance;
Increased team productivity ;
Reduction of delivery time;
Generating value for the product and service delivered to the customer;
Use of technology to monitor performance in real time;
Process more open to changes and improvements.
Name*
Name *
E-mail*
Email *
What is your area of interest?*
Select
How long do you intend to take to complete an undergraduate or specialization course?*
Select
Telephone*
+55
State*
Select
What is your level of education?*
Select
What type of course are you looking for?*
Select
Do you have any specialization?*
Select
What is your biggest professional and/or student need at the moment?*
What is your greatest professional and/or academic need at the moment? *
I agree to receive communications.
By providing my data, I agree to the Privacy Policy .
Register
should_not_change
We promise not to use your contact information to send any type of SPAM.
Why is Statistical Process Control important?
With an increasingly competitive market, it is important that engineering professionals are aware not only of the technologies in the field, but also of management in order to become more valued in the market.
To achieve this, mastering SPC (Statistical Process Control) can be of great importance for the team and for the final delivery. With it, it is possible to increase the predictability of internal processes, ensure the quality of deliveries and avoid rework.
Furthermore, with the digitalization of services and the advancement of digital transformation, the CEP has become an increasingly accessible tool from an operational point of view. Implementation has proven to be less costly and, therefore, comes down to simply mastering the methodology.
In the end, all quality management becomes easier and more useful, which directly impacts both the reliability between the company and the client and how the engineering professional is seen when making decisions on the construction site .
When and how to use Statistical Process Control?
There is no right time to start using SPC (Statistical Process Control) . As we have shown here, the benefits are many. Therefore, this control is useful both for implementing changes when results are not satisfactory and for maintaining good team performance rates.
Therefore, every engineering company should consider this as one of the ways to monitor processes, but also to seek internal improvements in processes and teams.
To perform the CEP, the professional must have a data collection methodology already implemented and, subsequently, analyze these metrics. It is the manager's role to establish these KPIs and interpret each variation.