Using of fractional factorial design (r k−p ) in data envelopment analysis to selection of outputs and inputs

Year 2015, Volume: 44 Issue: 3, 679 - 687, 01.06.2015

Hulya Bayrak , Oday Jarjies , Kubra Durukan

Abstract

Data envelopment analysis (DEA) is a linear programming based technique for measuring the relative performance of organisational units
where the presence of multiple inputs and outputs makes comparisons
difficult. We used, Morita and Avkiran propose after it has been developed an input-output selection method that uses fractional factorial
design, which is a statistical approach to find an optimal combination.
Energy efficiency and greenhouse gas emissions are closely linked in the
last two decades. We demonstrate the proposed method using data that
increase energy efficiency and heating gas emissions in the European
Union (EU) countries. 

Keywords

Data Envelopment Analysis (DEA), Decision-Making Unit (DMU), Fractional Factorial Design, Mahalanobis Fistance (MD)

References

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