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New approaches for performance evaluation using data envelopment analysis

Özpeynirci, Nail Özgür
Data Envelopment Analysis (DEA) assigns efficiency values to decision making units (DMU) in a given period by comparing the outputs with the inputs. In many applications, inputs and outputs of DMUs are monitored over time. There might be a time lag between the consumption of inputs and production of outputs. We develop approaches that aim to capture the time lag between the outputs and the inputs in assigning the efficiency values to DMUs. We present computational results on randomly generated problems as well as on an application to R&D institutes of the Scientific and Technical Research Council of Turkey (TÜBITAK).