Determination of a new mixed variable lot-size multiple dependent state sampling plan based on the process capability index

S Balamurali, Muhammad Aslam and Ahmad Liaquat

Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 3, 615-627

Abstract: This article proposes a new mixed variable lot-size multiple dependent state sampling plan in which the attribute sampling plan can be used in the first stage and the variables multiple dependent state sampling plan based on the process capability index will be used in the second stage for the inspection of measurable quality characteristics. The proposed mixed plan is developed for both symmetric and asymmetric fraction non conforming. The optimal plan parameters can be determined by considering the satisfaction levels of the producer and the consumer simultaneously at an acceptable quality level and a limiting quality level, respectively. The performance of the proposed plan over the mixed single sampling plan based on Cpk and the mixed variable lot size plan based on Cpk with respect to the average sample number is also investigated. Tables are constructed for easy selection of plan parameters for both symmetric and asymmetric fraction non conforming and real world examples are also given for the illustration and practical implementation of the proposed mixed variable lot-size plan.

Date: 2018
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DOI: 10.1080/03610926.2017.1309435

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