Operating Characteristic Curve A Trade Off Provider Between Producer's And Consumer's Risk

QuaIity control has been an ever daunting task for all the manufacturers in the universe, whether called a 3 or 6 sigma organization. It has never been an easy task for the producers to control their quality to the desired one. It is an every organization's dream to be an 100% quality producing and serving in the market. But it is equally challenging to achieve it. Every producer would be aiming to sell all that he has produced and hence would be always working out on the possibilities of his product being sold. Therefore It is always desirous for him that, he would possess a machinery that can work out and tell him the possibility or probability ofhis goods being sold or accepted by the customer. Most of these organizations today would be looking for testing methods that are so quick and effective that products are submitted to 100 percent inspection and testing which means that, every product shipped to customers is inspected, and tested to determine whether it is of desired quality. But it is literally not possible in all the cases to do so. For some such products where 100 testing becomes uneconomical, impractical, or impossible, acceptance plans are the only sensible basis for inspect_ing and testing. Over the past few decades statisticians have been trying to develop one such machinery which can serve as a very good quality control tool on which a producer can rely upon. Control charts and Acceptance sampling are the few which people have been using for the purpose. Among these tools, OC curve is a graphical tool which expresses the quality status of a sample of products whether to accept or reject. Here is an effort to understand the behavior of OC curve as a trade off between both producers and consum rs risk