Answer: Variation traced in the product because of error in setting jigs and fixtures are treated as Assignable causes.
When the gap between the data point and the mean is greater then it is known as high variation. On the other hand, when the difference between the data point and the mean is small then it is called small variation. There are two types of variation namely Common Cause Variation and Special Cause Variation. One should have an idea of these to know what kind of variation affects the process.
Types of Variation
The two types of variation have been illustrated below:
Common Cause Variation: It is the natural problem that is quantifiable and specific measures cannot be taken to prevent this failure from occurring. Some of its characteristics are an active phenomenon in the system, it is predictable, consistent, etc.
Special Cause Variation: It refers to the unpredictable glitches that affect a process. It is also known as Assignable Cause. The characteristics of this type of variation are they are non-quantifiable, not observed previously, and are unusual, sporadic, etc.
Variations traced in the product because of errors in setting jigs and fixtures are treated as
Out of the given option, Assignable cause is the correct option for this question.