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A new method in designing group chain acceptance sampling plans (GChSP) for generalized exponential distribution

Mohd Azri Pawan Teh (School of Quantitative Sciences (SQS), Universiti Utara Malaysia, Sintok, Malaysia)
Nazrina Aziz (School of Quantitative Sciences (SQS), Universiti Utara Malaysia, Sintok, Malaysia) (Institute of Strategic Industrial Decision Modeling (ISIDM), Universiti Utara Malaysia, Sintok, Malaysia)
Zakiyah Zain (School of Quantitative Sciences (SQS), Universiti Utara Malaysia, Sintok, Malaysia) (Centre of Testing, Measurement and Appraisal (CeTMA), Universiti Utara Malaysia, Sintok, Malaysia)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 9 October 2020

Issue publication date: 6 April 2021

78

Abstract

Purpose

This paper introduces group chain acceptance sampling plans (GChSP) for a truncated life test at preassumed time by using the minimum angle method. The proposed method is an approach, where both risks associated with acceptance sampling, namely consumers’ and producer’s risks, are considered. Currently, the GChSP only considers the consumer's risk (CR), which means the current plan only protects the consumer not the producer since it does not take into account the producer's risk (PR) at all.

Design/methodology/approach

There are six phases involved when designing the GChSP, which are (1) identifying the design parameters, (2) implementing the operating procedures, (3) deriving the probability of lot acceptance, (4) deriving the probability of zero or one defective, (5) deriving the proportion defective and (6) measuring the performance.

Findings

The findings show that the optimal number of groups obtained satisfies both parties, i.e. consumer and producer, compared to the established GChSP, where the number of group calculated only satisfies the consumer not the producer.

Research limitations/implications

There are three limitations identified for this paper. The first limitation is the distribution, in which this paper only proposes the GChSP for generalized exponential distribution. It can be extended to different distribution available in the literature. The second limitation is that the paper uses binomial distribution when deriving the probability of lot acceptance. Also, it can be derived by using different distributions such as weighted binomial distribution, Poisson distribution and weighted Poisson distribution. The final limitation is that the paper adopts the mean as a quality parameter. For the quality parameter, researchers have other options such as the median and the percentile.

Practical implications

The proposed GChSP should provide an alternative for the industrial practitioners and for the inspection activity, as they have more options of the sampling plans before they finally decide to select one.

Originality/value

This is the first paper to propose the minimum angle method for the GChSP, where both risks, CR and PR, are considered. The GChSP has been developed since 2015, but all the researchers only considered the CR in their papers.

Keywords

Acknowledgements

This research was supported by Fundamental Research Grant Scheme (FRGS) (S/O Code: 14178). The authors thank their colleagues from School of Quantitative Sciences (SQS), Universiti Utara Malaysia who provided insight and expertise that greatly assisted the research, although they may not agree with all of the interpretations of this paper.

Citation

Pawan Teh, M.A., Aziz, N. and Zain, Z. (2021), "A new method in designing group chain acceptance sampling plans (GChSP) for generalized exponential distribution", International Journal of Quality & Reliability Management, Vol. 38 No. 5, pp. 1116-1129. https://doi.org/10.1108/IJQRM-12-2018-0345

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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