Enhancing process mean monitoring efficiency using extended-EWMA control chart with auxiliary information
Aamir Sanaullah (),
Aqsa Hussain () and
Prayas Sharma ()
Additional contact information
Aamir Sanaullah: COMSATS University Islamabad, Lahore Campus
Aqsa Hussain: COMSATS University Islamabad, Lahore Campus
Prayas Sharma: Babasaheb Bhimrao Ambedkar University
International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 7, No 49, 3522-3537
Abstract:
Abstract For monitoring the outputs of production processes, statistical process control (SPC) is widely used. The control chart (CC) stands as the most important SPC tool for differentiating between unnatural and natural sources of variation. Unnatural sources typically result in changes in the value of process parameters, which are categorized into three levels: minor, moderate, and high. While memory-less CCs excel in identifying large shifts, memory-based CCs such as exponentially weighted moving average (EWMA) and extended exponentially weighted moving average (EEWMA) CCs are optimal for detecting minor-to-moderate shifts in process parameter values. Detection ability of CCs is enhanced by using auxiliary variable. This study is conducted to propose an EEWMA CC using auxiliary information named as MyEEWMA CC. The proposed MyEEWMA chart is evaluated through average run length criterion. In the practical industrial applications with the density and stiffness of particle board data, the MyEEWMA CC detected process deviations earlier than existing EEWMA, and MyEWMA CCs. Specifically, the MyEEWMA chart signaled an issue by the 25th sample, whereas the EEWMA, and MyEWMA CCs did not detect any deviations even after the 25th sample. This tangible evidence underscores the superior efficiency of the proposed MyEEWMA CC in industrial settings.
Keywords: Statistical process control; EWMA CC; Extended EWMA CC; Average run length; Auxiliary variable (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13198-024-02360-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:ijsaem:v:15:y:2024:i:7:d:10.1007_s13198-024-02360-5
Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198
DOI: 10.1007/s13198-024-02360-5
Access Statistics for this article
International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar
More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().