Work

Group acceptance sampling plan for exponential logarithmic distribution: an application to medical and engineering data

Year: 2024

Type: article

Abstract: In this study, we present a group-acceptance sampling plan (GASP) in which the lifetime of an item follows a two-parameter exponential logarithmic (EL) distribution. The lower and upper quantile values were used as quality indices for various constraint design parameters, including acceptance number, predefined consumer risk, minimum group size and test termination. However, the results show that the lower quantile values perform better than the upper quantile values in terms of saving time and cost with minimum groups (g) and acceptance numbers (c). We used two real-life datasets to estimate the unknown parameters using the maximum-likelihood method. A comparison was made between the GASP and the ordinary sampling plan (OSP) to check the efficiency of the sampling plan.

Source: Cogent Engineering

DOI: 10.1080/23311916.2024.2328386

Authors: Muhammad Ameeq, Sidra Naz, Muhammad Muneeb Hassan, Laraib Fatima, Rabeea Shahzadi, Alpha Kargbo

Institutions: Islamia University of Bahawalpur, National College of Business Administration and Economics, Ghazi University, University of the Gambia

Language: English

Topic: Advanced Statistical Process Monitoring

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,165

OpenAlex ID: W4404590551

FWCI: 0.83

Cites: 33

Cited by: 7

Related to: 10