M. Aslam, C. Jun, Y. Lio, M. Ahmad, Mujahid Rasool
{"title":"Group acceptance sampling plans for resubmitted lots under Burr-type XII distributions","authors":"M. Aslam, C. Jun, Y. Lio, M. Ahmad, Mujahid Rasool","doi":"10.1080/10170669.2011.651165","DOIUrl":null,"url":null,"abstract":"In this article, a group acceptance sampling plan (GASP) for lot resubmitting is developed to ensure the quality of product lifetime assuming that the product lifetime follows the Burr-type XII distribution. The parameters of the GASP are determined by satisfying the specified producer's and consumer's risks according to the experiment termination time and the number of testers. A comparison between the proposed group sampling plan and the ordinary group sampling plan shows that the proposed plan requires less sample size. Two examples are used for illustration.","PeriodicalId":369256,"journal":{"name":"Journal of The Chinese Institute of Industrial Engineers","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Chinese Institute of Industrial Engineers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10170669.2011.651165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
In this article, a group acceptance sampling plan (GASP) for lot resubmitting is developed to ensure the quality of product lifetime assuming that the product lifetime follows the Burr-type XII distribution. The parameters of the GASP are determined by satisfying the specified producer's and consumer's risks according to the experiment termination time and the number of testers. A comparison between the proposed group sampling plan and the ordinary group sampling plan shows that the proposed plan requires less sample size. Two examples are used for illustration.