Statistical quality control definition description:
The technique of using statistical methods based on mathematical probability theory in quality control problems is called statistical quality control.
When the statistical method is used to control the quality of a product, it is called statistical quality control. That is, the process of using statistical tools for quality control in the production process is called statistical quality or quality control. https://bdfabric.com/definition-and-objects-of-quality-and-quality-control/
Description of Statistical quality control:
The causes of the product variation produced in this process are continuously examined and measures are taken to eliminate the variability.
Statistical quality control definition description. The main purpose of statistical quality control is to distinguish Preventable Variation from Allowable Variation, by which appropriate action is taken against any detectable or irreversible variation in the production process. The quality of the product is controlled by various types of data analysis in the method of statistical quality control. This reduces the amount of cancellation and inspection of the product. https://bdfabric.com/jute-spinning-frame-and-its-objectives/
There are two main reasons for the difference in quality.
1. Allowable variation or causes: This is also called random or non-assignable variation.
2. Preventable variation or causes: This is also called Non-allowable or Assignable variation.
1. Allowable Variations:
It is not possible to produce the same quality product in any production process, there will be differences. Some minor differences are due to natural changes and cannot be eliminated. It is accepted that it is very difficult to take appropriate action by identifying the causes and the cost is very high.
So the factors that cannot be easily identified, that is, the small factors that cannot be seen with the eye, are called acceptable differences or discrepancies. These factors include Temperature, Humidity, Machine Vibration, Dust and dirt in the air, Voltage function, etc.
2. Preventable variation:
The causes of the differences that can be measured and seen with the eye and eliminated, that is, the differences caused by the major causes are called irreversible differences. This is usually due to impure processes. For example- Raw material, Machinery, Unskilled manpower, etc. If there is such a difference in the production process, the product is not considered to be under control.