Iran University of Science and Technology (IUST), Tehran, Iran
Abstract
Many researchers have shown that adaptive control charts perform more efficiently than fixed-parameter charts in detecting process shifts. The adaptive charts proposed in previous studies are generally based on the assumption that the observations follow a normal distribution. However, in many real-world processes, the distribution of observations is non-normal or, in most cases, unknown. The control chart proposed in this article is a sign control chart with variable sample size for monitoring the process median. It has two key advantages: first, it does not require the assumption of normality for the observations, and second, it is adaptive, which allows it to detect shifts in the process median more quickly than fixed-parameter charts. The performance of this chart is evaluated based on the Average Sample Number (ASN) until an alarm is triggered, which is obtained using the properties of a Markov chain.
Norolsana,R and Sedighi,Z . (2012). Optimal Design of a Sign Control Chart with Variable Sample Size. Journal of Quality Engineering and Management, 2(2), 97-104.
MLA
Norolsana,R , and Sedighi,Z . "Optimal Design of a Sign Control Chart with Variable Sample Size", Journal of Quality Engineering and Management, 2, 2, 2012, 97-104.
HARVARD
Norolsana R, Sedighi Z. (2012). 'Optimal Design of a Sign Control Chart with Variable Sample Size', Journal of Quality Engineering and Management, 2(2), pp. 97-104.
CHICAGO
R Norolsana and Z Sedighi, "Optimal Design of a Sign Control Chart with Variable Sample Size," Journal of Quality Engineering and Management, 2 2 (2012): 97-104,
VANCOUVER
Norolsana R, Sedighi Z. Optimal Design of a Sign Control Chart with Variable Sample Size. J. Qual. Eng. Manag.. 2012;2(2):97-104 (In Persian).
