Traditionally, in reliability acceptance sampling plans, the decision to accept or reject a lot is made by performing the life tests of items. However, when the item’s deterioration is described by a degradation process, it can be made based on the observed deterioration levels of the items obtained from degradation tests. In this paper, two acceptance sampling plans are developed, based on the observation of the deterioration of the items, accumulated on a given period of time. To model the degradation of the items over time, the Wiener process with positive drift is employed. Algorithms to find the parameters of the proposed sampling plans are suggested. Conditionally on the acceptance in the test, the developed sampling plans are shown to improve the reliability performance of the items in the sense that the lifetimes of the items after the reliability sampling test are stochastically larger than those before the test. Also, we compare the two sampling plans both from a technical and economical points of view.
机构:
Zhejiang Gongshang Univ, Dept Stat, Hangzhou, Zhejiang, Peoples R China
Huangshan Univ, Sch Math & Stat, Huangshan, Peoples R ChinaZhejiang Gongshang Univ, Dept Stat, Hangzhou, Zhejiang, Peoples R China
Wang, Xiaofei
Wang, Bing Xing
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Zhejiang Gongshang Univ, Dept Stat, Hangzhou, Zhejiang, Peoples R ChinaZhejiang Gongshang Univ, Dept Stat, Hangzhou, Zhejiang, Peoples R China
Wang, Bing Xing
Wu, Wenhui
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Zhejiang Gongshang Univ, Dept Stat, Hangzhou, Zhejiang, Peoples R ChinaZhejiang Gongshang Univ, Dept Stat, Hangzhou, Zhejiang, Peoples R China
Wu, Wenhui
Hong, Yili
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Virginia Tech, Dept Stat, Blacksburg, VA USAZhejiang Gongshang Univ, Dept Stat, Hangzhou, Zhejiang, Peoples R China