COMPARISON OF RANKING METHODS IN TWO-STAGE SERIAL DEA MODELS

Data envelopment analysis (DEA) is a non-parametric technique for evaluation of relative efficiency of decision making units characterized by multiple inputs and outputs. An interesting modification of conventional DEA models are models with network structure. The paper presents a modified SBM model for analysis of two-stage serial production systems. The results given by the SBM model are compared to other two models - Kao and Hwang and Chen model. Numerical experiments are realized on the original data set of 24 Taiwanese insurance companies presented in [5].