An inverse DEA approach in the presence of undesirable outputs based on the directional distance function
Subject Areas : International Journal of Data Envelopment Analysis
1 - عضو هیات علمی دانشگاه آزاد اسلامی واحد شیراز
Keywords: Data envelopment analysis, Inverse DEA, Directional distance function, Undesirable outputs.,
Abstract :
In many production systems, we can do acquisition and merge operations process to increase productivity. For this purpose, we can use the inverse data envelopment analysis (DEA) approach. In many cases, in addition to producing desirable outputs, we also have the simultaneous production of undesirable outputs. It is important to use a suitable approach in the acquisition and merge operations process. In this paper, we present a new model based on the directed distance function. The new model provides a new unit or a pre-determined target efficiency level by merging two decision-making units (DMUs). Based on this model, level for desirable and undesirable outputs is determined for the newly created unit. In the following, we will show the provided approach with a numerical example and apply it for real world data.
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