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Journal of Engineering and Applied Sciences

ISSN: Online 1818-7803
ISSN: Print 1816-949x
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An Approach in Finding Number of Optimal Groups for Group Chain Acceptance Sampling Plans (GChSP) by using Minimum Angle Method

Mohd Azri Pawan Teh, Nazrina Aziz and Zakiyah Zain
Page: 4067-4073 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

There are several methods used such as minimizing the consumer’s risk and minimum angle method(minimizing consumer’s and producer’s risks simultaneously) when developing a new acceptance sampling plan. For the minimizing consumer’s risk method, researchers have conducted a thorough research and all the findings using this method are well-discussed. However, for the minimum angle method, there is a slight issue when researchers discuss their findings which is they do not present the ultimate finding using the proposed method. That is the number of groups reported in the findings does not reflect the number of optimal groups associated with the smallest angle. Therefore, this study proposes an approach for finding number of optimal for Group Chain acceptance Sampling Plan (GChSP) by using minimum angle method. By using this approach, the number optimal of groups is obtained when the angle has the smallest value. The smallest angle is crucial, since, it discriminates a good lot and a bad lot better. Apart from that, it resembles the ideal Operating Characteristic (OC) curve.


How to cite this article:

Mohd Azri Pawan Teh, Nazrina Aziz and Zakiyah Zain. An Approach in Finding Number of Optimal Groups for Group Chain Acceptance Sampling Plans (GChSP) by using Minimum Angle Method.
DOI: https://doi.org/10.36478/jeasci.2019.4067.4073
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.4067.4073