A variable sampling plan using generalized multiple dependent state based on a one-sided process capability index-Reference-Cited by-同舟云学术

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A variable sampling plan using generalized multiple dependent state based on a one-sided process capability index

Published:2019-05-12 Issue:9 Volume:50 Page:2666-2677
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Rao G. Srinivasa¹,Aslam Muhammad²,Jun Chi-Hyuck³

Affiliation:

1. Department of Statistics, The University of Dodoma, Dodoma, Tanzania

2. Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia

3. Department of Industrial and Management Engineering, POSTECH, Pohang, Republic of Korea

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2019.1612431

Reference32 articles.

1. Acceptance sampling plan for multiple manufacturing lines using EWMA process capability index

2. Multiple Dependent State Sampling Plan Based on Process Capability Index

3. Multiple dependent state repetitive group sampling plan for Burr XII distribution

4. Design of sampling plan using auxiliary information

5. A multiple dependent state repetitive sampling plan for linear profiles

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparing the efficacy of coefficient of variation control charts using generalized multiple dependent state sampling with various run-rule control charts;Scientific Reports;2024-02-01

2. Optimal Bayesian generalized multiple-dependent state sampling plan for attributes;Journal of Statistical Computation and Simulation;2023-11-14

3. Designing Adaptive Multiple Dependent State Sampling Plan for Accelerated Life Tests;Computer Systems Science and Engineering;2023

4. Monitoring Using X-Bar Control Chart Using Neutrosophic-Based Generalized Multiple Dependent State Sampling with Application;International Journal of Computational Intelligence Systems;2022-09-03

5. A Non-Invasive Method to Evaluate Fuzzy Process Capability Indices via Coupled Applications of Artificial Neural Networks and the Placket–Burman DOE;Mathematics;2022-08-19

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