Eciency measurement in Two-Stage network structures consideringundesirable outputs

با توجه ضرورت رتبه بندي واحد هاي كار ا مدلهاي مختلفي از تحليل هاي پوششي داده ها معرفي شده است. هر يك از روشهاي پيشنهاد شده با مزيتهايي، رتبه بندي واحد هاي كارا را انجام مي دهند. هدف اصلي اين مقاله معرفي روشي جديد براي رتبه بندي است كه علاوه بر داشتن مزاياي روشهاي قبلي در دامنه وسيعي پيوسته باشد.

Since data envelopment analysis (DEA) introduced in 1970s, it has been widely applied to measure the eciency of a wide variety of production and operation systems. Recently DEA has been extended to examine the eciency of decision making units (DMUs) with two-stage network structures or processes, where the outputs from the rst stage are intermediate measures that make up the inputs of the second stage. Many researchers developed several DEA based models for evaluating the eciencies of such systems. This paper considers evaluation of the general two-stage network structures, while each stage may produce undesirable output, in addition to desirable ones. The developed model is applied to Green Hen poultry chain in Guilan province, Iran.