Economic statistical model of the np chart for monitoring defectives
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Original language | English |
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Article number | 13179 |
Journal / Publication | Scientific Reports |
Volume | 13 |
Online published | 14 Aug 2023 |
Publication status | Published - 2023 |
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DOI | DOI |
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85168066041&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(43d3b346-2b85-4280-ac38-ba4b4de73ca2).html |
Abstract
When monitoring manufacturing processes, managing an attribute quality characteristic is easier and faster than a variable quality characteristic. Yet, the economic-statistical design of attribute control charts has attracted much less attention than variable control charts in the literature. This study develops an algorithm for optimizing the economic-statistical performance of the np chart for monitoring defectives, based on Duncan’s economic model. This algorithm has the merit of the economic model to minimize expected total cost, and the benefit of the statistical design to enhance the effectiveness of detecting increasing shifts in defectives. The effectiveness of the developed np chart is investigated under different operational scenarios. The results affirm a considerable superiority of the proposed np chart over the traditional np chart. Real-life data are used to demonstrate the applicability of the proposed np scheme, in comparison to the traditional np chart. © 2023, Springer Nature Limited.
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Citation Format(s)
Economic statistical model of the np chart for monitoring defectives. / Haridy, Salah; Alamassi, Batool; Maged, Ahmed et al.
In: Scientific Reports, Vol. 13, 13179, 2023.
In: Scientific Reports, Vol. 13, 13179, 2023.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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