Multiple Dependent State Repetitive Sampling-Based Control Chart for Birnbaum–Saunders Distribution

Autor: Muhammad Aslam, Ambreen Shafqat, G. Srinivasa Rao, Jean-Claude Malela-Majika, Sandile C. Shongwe
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Mathematics, Vol 2020 (2020)
Druh dokumentu: article
ISSN: 2314-4629
2314-4785
DOI: 10.1155/2020/8539361
Popis: This paper proposes a new control chart for the Birnbaum–Saunders distribution based on multiple dependent state repetitive sampling (MDSRS). The proposed control chart is a generalization of the control charts based on single sampling, repetitive sampling, and multiple dependent state sampling. Its sensitivity is evaluated in terms of the average run length (ARL) using both exact formulae and simulations. A comprehensive comparison between the Birnbaum–Saunders distribution control chart based on the MDSRS method and other existing competing methods is provided using a simulation study as well as a real-life illustration. The results reveal that the proposed chart outperforms the existing charts considered in this study by having better shift detection ability.
Databáze: Directory of Open Access Journals
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