An optimization model for designing acceptance sampling plan based on cumulative count of conforming run length using minimum angle method
Abstract
The purpose of this article is to present an acceptance sampling plan based on cumulative count of conforming using minimum angle method. In this plan, if the number of inspected items until rth defective items is greater than an upper control threshold then lot is accepted and if it is less than a lower control threshold then the lot is rejected and if it is between control thresholds, process of inspecting the items continues. To design this model, we considered some important concepts like num- ber of inspected items until rth nonconforming item in inspection, first and second type of error, average number inspected (ANI), AQL andLQL. Also derivative of (ANI) function in point AQL is used for opti- mization. The objective function of this model was constructed based on minimum angle method. Also a comparison study is carried out to evaluate the performance of proposed methodology in 50 different data sets.
Keywords
Quality control Markovian model Conforming run length Accep- tance sampling plan Minimum angle method
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Details
| Primary Language | English |
|---|---|
| Subjects | Statistics |
| Journal Section | Research Article |
| Authors | |
| Publication Date | October 1, 2015 |
| Published in Issue | Year 2015 Volume: 44 Issue: 5 |