TY  - JOUR
AB  - Purpose– The aim of this paper is to present a synthetic chart based on the non‐central chi‐square statistic that is operationally simpler and more effective than the joint X¯ and R chart in detecting assignable cause(s). This chart will assist in identifying which (mean or variance) changed due to the occurrence of the assignable causes.Design/methodology/approach– The approach used is based on the non‐central chi‐square statistic and the steady‐state average run length (ARL) of the developed chart is evaluated using a Markov chain model.Findings– The proposed chart always detects process disturbances faster than the joint X¯ and R charts. The developed chart can monitor the process instead of looking at two charts separately.Originality/value– The most important advantage of using the proposed chart is that practitioners can monitor the process by looking at only one chart instead of looking at two charts separately.
VL  - 12
IS  - 1
SN  - 1355-2511
DO  - 10.1108/13552510610654556
UR  - https://doi.org/10.1108/13552510610654556
AU  - Costa A.F.B.
AU  - Rahim M.A.
ED  - Abdul Raouf
ED  - Salih Duffuaa
ED  - Mohamed Ben‐Daya
PY  - 2006
Y1  - 2006/01/01
TI  - A synthetic control chart for monitoring the process mean and variance
T2  - Journal of Quality in Maintenance Engineering
PB  - Emerald Group Publishing Limited
SP  - 81
EP  - 88
Y2  - 2024/04/23
ER  -