Abstract
This paper proposes a novel two-stage bi-objective Data Envelopment Analysis (DEA) model. The objectives considered are maximization of overall efficiency and maximization of labor efficiency. The existing literature has not yet proposed any multi-objective DEA model till date. However, such model is in demand because most of the real life problems consist of multiple stages. The proposed model has also considered dissimilar intermediate weights. The proposed model has been applied to a multi-stage insurance problem with two input variables, two intermediate variables and two output variables in order to establish the effectiveness of the proposed model. The proposed model is an algorithmically complex problem and therefore a hybrid Multi-Objective Genetic Algorithm has been applied in order to solve the proposed model.
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