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Statistical Quality Control In your own opinion, why is the use of statistical methods so important with respect to the issue of quality control? What are the consequences to a business of a lapse in quality control?Statistical quality control is very important in the production process as it is used to spot defective products and also to reduce chances of errors occurring in the production process. A lapse in quality control for a business can be disastrous as the criteria of inspection will be compromised.
If the criterion is too stringent, then there will arise a situation where acceptable products will be rejected. This is known as type 1 error. On the other hand, if the process is too lenient, then many harmful or defective products will reach the consumer. This is a type 2 error.2. Of the statistical methods discussed this week, which would you employ under which circumstances? Why?Statistical process control is used when we are interested with the effectiveness of a production process. This is because the method uses statistical formulas to predict the suitability of the production process to meet the required standards of consumers.
If the number of defectives is higher than stipulated figure, then the process is considered ineffective. If we are more interested with the likelihood of goods produced meeting the threshold of consumer standards, then acceptance sampling is the best method. It uses sampling methods to predict percentage of defective goods. If the extrapolated results do not reflect the minimum specification of defectives, then the whole batch of goods is rejected.3. In your opinion, what is the importance of acceptance sampling? Explain.It is a faster quality control method.
Acceptance sampling involves rejecting or accepting a whole population of goods based on results obtained from a sample. Inspecting a sample is faster than inspecting several samples or a whole population of goods.
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