Developing a variables repetitive group sampling scheme by considering process yield and quality loss

Chien-Wei Wu, Tai-Hsi Wu and Tiffany Chen

International Journal of Production Research, 2015, vol. 53, issue 7, 2239-2251

Abstract: Acceptance sampling is a useful tool for determining whether submitted lots should be accepted or rejected. With the current increase in outsourcing production processes and the high-quality levels required, it is very desirable to have an efficient and economic sampling scheme. This paper develops a variables repetitive group sampling (RGS) plan that accounts for the process yield (meeting the manufacturing specifications) and the quality loss (variation from the target). The plan parameters are determined by solving a nonlinear optimisation problem. This implies that the plan parameters minimise the average sample number required for inspection and fulfil the classical two-point conditions on the operating characteristic (OC) curve. Besides, this paper investigates the efficiency of the proposed plan and compares it with the existing variables single sampling plan. Tables of the plan parameters for the proposed variables RGS plan are provided and an application example is presented for illustration.

Date: 2015
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DOI: 10.1080/00207543.2014.986300

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