One of the main works is the checking and analyzing of a product in the company. This helps identify the defects, whether before manufacturing or after. Two of these processes are SPC and SQC. These are similar processes, but there are differences too.
Key Takeaways
- SPC focuses on analyzing and controlling the variation in a process to maintain quality, while SQC focuses on monitoring the process outputs to ensure they meet the required quality standards.
- SPC controls manufacturing processes, while SQC is used in product inspections and testing.
- SPC involves analyzing the data using statistical process control charts, while SQC involves statistical sample data analysis.
SPC vs SQC
The difference between the SPC and SQC is that in the case of SPC, the quality of the product is checked before the manufacture to prevent defects in the products. But in the case of SQC, the process is done after the manufacture of the products to check the quality and eliminate the defective products from good ones.
The full form of SPC is Statistical Process Control. This is a process of checking product quality before manufacturing and preventing that accordingly.
The best quality machines are also not able to produce the perfect products. There are some other errors in them. The goal of this process control is to ensure the stability of production.
The full form of SQC is Statistical Quality Control. Inspecting each product is expensive and sometimes unrealistic, but the minimization of damaged products is also a requirement.
So to solve this problem, the statistical quality control selects some random samples or subsamples of products and analyzes their quality.
Comparison Table
| Parameters of Comparison | SPC | SQC |
|---|---|---|
| Monitoring | Process inputs | Process outputs |
| Process | A process to prevent defects in the real time | A process to prevent defects from reaching the end customers |
| Done during | Before manufacturing | After manufacturing |
| Duty | To check production flaws | This observes specific amount of samples to measure the acceptability of product |
| Charts prepared | Control charts, multivariate charts | Analysis of means chart |
What is SPC?
In the year 1920, the theory of SPC was developed by Bell Laboratories. The full form of SPC is Statistical Process Control. This is a process of checking product quality before manufacturing and preventing that accordingly.
At that time, it was differentiated into two types: random and intermittent fluctuation.
The random fluctuations are the flaws due to the machines. The best quality machines are also not able to produce the perfect products. There are some other errors in them.
Intermittent fluctuations are the errors made by the manufacturer or by manual flaws or due to the problem of calibrations. The goal of this process control is to ensure the stability of production.
It also aims to control the proportion of the products that do not meet the need of specification limits.
Sometimes if only the product is under control, it does not mean that the product is always of good quality, so when it comes to the observation that it has some of the other flaws.
Some things need to be changed, like changing the process, redoing the same procedure, analyzing the historical data, etc. The charts prepared to look after the process of SPC is control charts and multivariate charts.
What is SQC?
The full form of SQC is Statistical Quality Control. This is a process done to prevent defects from reaching the end customers.
SQC ensures that the product is compliant with the customer’s requirements. This is done after the manufacturing of the products.
Inspecting each product is expensive and sometimes unrealistic, but the minimization of damaged products is also a requirement.
So to solve this problem, the statistical quality control selects some random samples or subsamples of products and analyzes their quality.
This ensures that the batch of the products and how many damaged products are there. This is important for the assurance of the product for the customer.
When the products are delivered, the customers also check the batch of products and their quality. So statistical quality control is the most important step for holding the company’s reputation and value in the market.
There are many steps for quality control. Quality control is directly related to good product production. If the SQC is high for the products, the product is considered good and high quality.
The chart prepared for the statistical quality control is known as the analysis of the means chart. This chart is used for making a decision regarding the quality and delivery of the products or for the reassurance and rectification of the products.
Main Differences Between SPC and SQC
- SPC is the monitoring of process inputs in comparison to that the SQC is the monitoring of process outputs.
- SPC is a process to prevent defects in real-time, and on the other hand, SQC is a process to prevent defects from reaching the end customers.
- The process of SPC is done before manufacturing. On the other hand, the SQC process is done after manufacturing.
- SPC is done to check production flaws. In contrast, the SQC is done to observe a specific amount of samples to measure the acceptability of the product.
- The types of charts for SPC are control charts, and multivariate charts. On the other hand, the SQC has an analysis of means charts.
- https://academic.oup.com/clinchem/article-abstract/64/2/289/5608851
- https://link.springer.com/chapter/10.1007/978-4-431-53969-8_6
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