A statistical analysis to design and operate an unreliable transfer line with exogenous random unit demand

The purpose of this paper is to employ statistical methods such as cluster, discriminant, and other multivariate techniques to classify discrete unreliable transfer lines and to further evaluate how design and operational factors affect their performance. The empirical analysis to illustrate the statistical approach is based on a model and an experimental analysis derived by Mehrez and Patuwo