K. Dooley et al., MODEL-BASED DIAGNOSIS OF SPECIAL CAUSES IN STATISTICAL PROCESS-CONTROL, International Journal of Production Research, 35(6), 1997, pp. 1609-1616
Citations number
25
Categorie Soggetti
Engineering,"Operatione Research & Management Science
Industry has recognized that effective use of automated diagnostic sof
tware can greatly enhance process quality and productivity. Simultaneo
usly, significant advances have been made in the technologies of proce
ss modelling, using techniques such as neural networks, regression met
hods, and various analytical approaches. Here we will present a simple
method to perform model-based diagnosis. The method is simple to impl
ement, intuitively appealing, and requires information that should be
standardly available. The method requires as input current process dat
a, set-point information, and a predictive process model, and outputs
a table of diagnostic scores which indicate the likelihood of a partic
ular factor being the cause of an observed special cause on a statisti
cal process control chart.