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

Hulya Bayrak; Oday Jarjies; Kubra Durukan

Research Article

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

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

Hulya Bayrak Oday Jarjies Kubra Durukan

Abstract

References

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There are 1 citations in total.

Details

Primary Language	English
Subjects	Statistics
Journal Section	Statistics
Authors	Hulya Bayrak Oday Jarjies Kubra Durukan This is me
Publication Date	June 1, 2015
Published in Issue	Year 2015 Volume: 44 Issue: 3

Cite

APA	Bayrak, H., Jarjies, O., & Durukan, K. (2015). Using of fractional factorial design (r k−p ) in data envelopment analysis to selection of outputs and inputs. Hacettepe Journal of Mathematics and Statistics, 44(3), 679-687.
AMA	Bayrak H, Jarjies O, Durukan K. Using of fractional factorial design (r k−p ) in data envelopment analysis to selection of outputs and inputs. Hacettepe Journal of Mathematics and Statistics. June 2015;44(3):679-687.
Chicago	Bayrak, Hulya, Oday Jarjies, and Kubra Durukan. “Using of Fractional Factorial Design (r k−p ) in Data Envelopment Analysis to Selection of Outputs and Inputs”. Hacettepe Journal of Mathematics and Statistics 44, no. 3 (June 2015): 679-87.
EndNote	Bayrak H, Jarjies O, Durukan K (June 1, 2015) Using of fractional factorial design (r k−p ) in data envelopment analysis to selection of outputs and inputs. Hacettepe Journal of Mathematics and Statistics 44 3 679–687.
IEEE	H. Bayrak, O. Jarjies, and K. Durukan, “Using of fractional factorial design (r k−p ) in data envelopment analysis to selection of outputs and inputs”, Hacettepe Journal of Mathematics and Statistics, vol. 44, no. 3, pp. 679–687, 2015.
ISNAD	Bayrak, Hulya et al. “Using of Fractional Factorial Design (r k−p ) in Data Envelopment Analysis to Selection of Outputs and Inputs”. Hacettepe Journal of Mathematics and Statistics 44/3 (June 2015), 679-687.
JAMA	Bayrak H, Jarjies O, Durukan K. Using of fractional factorial design (r k−p ) in data envelopment analysis to selection of outputs and inputs. Hacettepe Journal of Mathematics and Statistics. 2015;44:679–687.
MLA	Bayrak, Hulya et al. “Using of Fractional Factorial Design (r k−p ) in Data Envelopment Analysis to Selection of Outputs and Inputs”. Hacettepe Journal of Mathematics and Statistics, vol. 44, no. 3, 2015, pp. 679-87.
Vancouver	Bayrak H, Jarjies O, Durukan K. Using of fractional factorial design (r k−p ) in data envelopment analysis to selection of outputs and inputs. Hacettepe Journal of Mathematics and Statistics. 2015;44(3):679-87.