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Using the operating characteristic curve

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Overview of the two-point oc-curve method
to develop acceptance sampling plans

  1. Acceptance Sampling Plan: These sampling plans consist of a sample size and a decision rule. The sample size is the number of items to sample or the number of measurements to take. The decision rule involves the acceptance limit(s) and a description of how to use the sample result to accept or reject the lot.

  2. Design Method: To design a sampling plan by the two-point method, the designer specifies two points on the Operating Characteristic Curve (OC-Curve).

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    These two points define the acceptable and unacceptable quality levels for the purpose of acceptance sampling. The two points also determine the risks associated with the acceptance/rejection decision. You will fine a more thorough discussion of the methodology in the Tutorial.

  3. Discrimination: The sampling plans will require enough testing and inspection to discriminate between acceptable and unacceptable quality levels at the probability levels that the designer selects.

  4. Reduce Cost: The sampling plans will save you time and effort by using no more testing and inspection than necessary in order to minimize cost.

  5. Articulation: These sampling plans enable you to quickly know, describe, and explain the meaning of your acceptance rules -- using operating characteristic curves to state the probabilities and risks.

  6. Accuracy: We have refined the supporting software over many years of application by Quality and Reliability Engineers, Technicians, and Consultants. In addition to sampling plan applications, it is very suited to classroom training.

Author --  Stan Hilliard, CQE,CRE,CQA,PE

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