Using of fractional factorial design (rk-p) in data envelopment analysis to selection of outputs and inputs

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Küçük Resim

Tarih

2015

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Hacettepe Univ, Fac Sci

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

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.

Açıklama

Anahtar Kelimeler

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

Kaynak

Hacettepe Journal Of Mathematics And Statistics

WoS Q Değeri

Q4

Scopus Q Değeri

Q2

Cilt

44

Sayı

3

Künye

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 .