Network DEA with Common Weights

Data envelopment analysis (DEA) generally includes two properties. First, DEA is based upon the overall efficiency without observing the internal structure of a production system. Second, a multiplier DEA model allows a production system to select input and output weights in a total flexible way. However, it is essential to deal with these two properties in reality. This paper presents a common-weights DEA model where the internal structure of a production system is known. We also present a numerical example to exemplify the applicability of the proposed model in this research.