부산대학교 도서관

Statistical Quality Control is an important field in production and maintenance of quality product in manufacturing environments. Reliability sampling plans (RSP) were widely employed in the sectors of manufacturing to monitor the quality of products in order to safe guard the producer as well as the consumer also the experimental costs and time can be saved. This article is developed on the reliability sampling plan when the evaluating life of the product is set to be truncated at predetermined time follows Exponential-Poisson (EP) distribution. The probability of acceptance criteria for the single sampling is designed to achieve the lowest sample size for such proposed two parameter probability distribution with the corresponding decision rule. This study is conducted to design plan parameters on the basis of desired quality levels such as Acceptable Reliability Quality Level (ARQL), Indifference Reliability Quality Level (IRQL) and Rejectable Reliability Quality Level (RRQL). This study computes the median life for the specified producer's risk, its OC curve is provided along with the minimum ratio values. Furthermore, it determines the minimum size of the samples and the acceptance number. Table values have been obtained and provided for single sampling plan. Additionally, suitable examples are provided to conduct a study on a real time situations. [ABSTRACT FROM AUTHOR]