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Abstract
In the world wide business market, quality control plays a vital role to recognize the visible characteristic values of the various produced commodities. The acceptance sampling plan is one of the important statistical tools which are used for quality control and improvement. An acceptance sampling is a form of testing which involves taking random samples of lot and measuring them against predetermined standards. The lot can be inspected immediately following production or before the product is shipped to the customer. from other side, the lots can be inspected as they are received from the supplier. In the first case it is conducted outgoing inspection and in the second case incoming inspection. The product quality has become one of the most important issues that distinguish different commodities in a global business market. For this reason, acceptance sampling plans are widely used in industries for the testing purpose; for example, the application of an acceptance sampling plans in food industry and applications of acceptance sampling plans in testing of fiber optical. The aim of this thesis is to investigate how usage of different acceptance sampling plans could lead to different conclusions and decisions about accepting or rejecting a lot. The single, group and double sampling plans with the truncated lifetime distributions are considered and compared. The parameters for the sampling plans are changed to simulate possible results and conclusions of inspections