Two-stage cooperation model with stochastic data

Data Envelopment Analysis (DEA) is a very effective method to evaluate the relative efficiency of decision-making units (DMUs). A two-stage production process assumes that the first stage transforms external inputs to a number of intermediate measures, which then are used as inputs to the second stage that produces the final outputs. In this paper we develop Input DEA models for two-stage processes with stochastic data.

کلیدواژه ها:

Data envelopment analysis (DEA) ، Efficiency ، Two-stage ، Intermediate measure ، stochastic data