eprintid: 13657
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/36/57
datestamp: 2023-11-10 03:28:13
lastmod: 2023-11-10 03:28:13
status_changed: 2023-11-10 01:51:41
type: article
metadata_visibility: show
creators_name: Kok, K.C.
creators_name: Feng, C.J.
creators_name: Kamaruddin, S.
title: Short-run univariate quality control approaches
ispublished: pub
note: cited By 0
abstract: Short-run control charts are used in situations where limited or no data exist about the process, and conventional statistical process control (SPC) charts are considered ineffective for estimating parameters, such as control limits, because they cannot be established in most cases. This study presents a contemporary review on developing various short-run univariate quality control approaches. Considerable literature is systematically collected on the basis of content analysis. Techniques are differentiated on the basis of repetitive and non-repetitive processes. Subsequently, the principles, data sample collection, performance criteria, robustness and applications of quality control approaches are reviewed. Copyright © 2020 Inderscience Enterprises Ltd.
date: 2020
publisher: Inderscience Publishers
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097869888&doi=10.1504%2fIJPQM.2020.111672&partnerID=40&md5=c6a78fba609bbfb6b3dd72534dbd6413
id_number: 10.1504/IJPQM.2020.111672
full_text_status: none
publication: International Journal of Productivity and Quality Management
volume: 31
number: 4
pagerange: 483-507
refereed: TRUE
issn: 17466474
citation:   Kok, K.C. and Feng, C.J. and Kamaruddin, S.  (2020) Short-run univariate quality control approaches.  International Journal of Productivity and Quality Management, 31 (4).  pp. 483-507.  ISSN 17466474