Open AccessMultiple Dependent State Repetitive Sampling-Based Control Chart for Birnbaum–Saunders Distribution
Author(s) -
Muhammad Aslam,
Ambreen Shafqat,
G. Srinivasa Rao,
JeanClaude MalelaMajika,
Sandile Charles Shongwe
Publication year - 2020
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2020/8539361
Subject(s) - control chart , chart , sampling (signal processing) , mathematics , statistics , generalization , x bar chart , sampling distribution , computer science , control limits , mathematical analysis , process (computing) , filter (signal processing) , computer vision , operating system
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.