OC and AOQ Curve
OC Curve (Operating Characteristic Curve) and AOQ Curve (Average Outgoing Quality Curve) are statistical tools used in quality control to determine the effectiveness of acceptance sampling plans.
The OC curve represents the relationship between the probability of accepting a batch of products that contains a certain proportion of defects, and the sample size and acceptance criteria used in the sampling plan. It is used to determine the risk of accepting a batch that does not meet the predetermined quality standards. The higher the proportion of defects in the batch, the greater the risk of accepting it.
The AOQ curve represents the average quality of products leaving the manufacturing process, and how this changes as different acceptance sampling plans are used. It is used to determine the efficiency of the sampling plan in maintaining quality, and to identify the optimal sample size and acceptance criteria.
The main difference between the OC and AOQ curves is that the OC curve focuses on the risk of accepting a batch with defects, while the AOQ curve focuses on the average quality of products leaving the manufacturing process.
Both the OC and AOQ curves are useful tools for assessing the effectiveness of acceptance sampling plans, and can help organizations to optimize their quality control processes.
