Highlights The problem of evaluating a set of DMUs that make up a larger unit is studied. We give a method to evaluate decision processes that can be divided into two stages. The first stage produces outputs that will become inputs to second stage. This process involves shared resources and a best resource split is given.

    Abstract This paper studies the problem of evaluating the relative efficiency of a set of specialized and interdependent decision-making subunits that make up a large decision-making unit (DMU). The paper develops a data envelopment analysis (DEA) approach for measuring the efficiency of decision processes which can be divided into two stages. In these processes the first stage uses its own inputs to generate outputs which a part of these outputs become the inputs to the second stage. Moreover, DMUs use shared input sources in both operation stages. This paper provides a set of additive models which measure the performance of two-stage network DEA processes with shared inputs. Numerical examples show the applicability of the approach.


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    Title :

    Additive models for network data envelopment analysis in the presence of shared resources


    Contributors:


    Publication date :

    2015-12-27


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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