TY  - JOUR
VL  - 31
SP  - 483
A1  - Kok, K.C.
A1  - Feng, C.J.
A1  - Kamaruddin, S.
PB  - Inderscience Publishers
Y1  - 2020///
AV  - none
ID  - scholars13657
N2  - 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.
EP  - 507
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097869888&doi=10.1504%2fIJPQM.2020.111672&partnerID=40&md5=c6a78fba609bbfb6b3dd72534dbd6413
SN  - 17466474
IS  - 4
JF  - International Journal of Productivity and Quality Management
TI  - Short-run univariate quality control approaches
N1  - cited By 0
ER  -