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Nazrina Aziz
Universiti Utara Malaysia
Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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Generalized Modified Group Chain Sampling Plan based on Non-symmetrical Data Nazrina Aziz; Abdur Razzaque Mughal; Zakiyah Zain; Nor Hisham Haron
International Journal of Supply Chain Management Vol 6, No 4 (2017): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Acceptance sampling is a quality control technique widely used by companies in deciding whether or not to accept a lot or batch of products based on the inspection result of a sample taken from the lot. Majority of acceptance sampling plans are developed assuming symmetrical data distribution, whereas actual scenarios include product lifetime which is often non-symmetrical. In this article, a generalized modified group chain sampling plan (GMGChSP) based on non-symmetrical data is proposed using preceding lot information. An iterative technique is employed to find the design parameters of the proposed plan by satisfying the pre-specified consumers risks, number of testers and proportion defective. The performance of the proposed plan is compared to an established plan developed by Mughal et al. (2016b).
Co-Authors Abdur Razzaque Mughal Nor Hisham Haron Zakiyah Zain