On the performance of modified EWMA charts using resampling schemes
Nasrullah Khan (nas_shan1@hotmail.com),
Talat Yasmin (yas.talat@gmail.com),
Muhammad Aslam (aslam_ravian@hotmail.com) and
Chi-Hyuck Jun (chjun@postech.ac.kr)
Operations Research and Decisions, 2018, vol. 28, issue 3, 29-43
Abstract:
Two popular sampling schemes have been used to design control charts by means of a modified exponentially weighted moving average (EWMA) statistic. The structures of the proposed charts, using repetitive group sampling and multiple dependent state sampling, have been presented. The values of average run length have been determined by some specified control chart parameters. The performance of the proposed chart was illustrated via a simulation study. The efficiency of the proposed chart has been compared with the existing one. A practical example based on real data was also given to explain the application of the proposed chart in industry.
Keywords: repetitive group sampling; multiple dependent state sampling; EWMA statistic; average run length; simulation (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ord.pwr.edu.pl/assets/papers_archive/1321%20-%20published.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wut:journl:v:3:y:2018:p:29-43:id:1321
DOI: 10.5277/ord180303
Access Statistics for this article
More articles in Operations Research and Decisions from Wroclaw University of Science and Technology, Faculty of Management Contact information at EDIRC.
Bibliographic data for series maintained by Adam Kasperski (adam.kasperski@pwr.edu.pl).