A multiple criteria approach to two-stage data envelopment analysis

Mahdi Mahdiloo, Abdol Hossein Jafarzadeh, Reza Farzipoor Saen, Peter Tatham, Ron Fisher

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

13 Citeringar (Scopus)

Sammanfattning

Two-stage data envelopment analysis (DEA) models are commonly used in the evaluation and benchmarking of sustainable operations and processes across multiple research fields. To date, however, little attention has been given to the unrealistic weight distribution and weak discrimination power in the modeling and evaluation of the two-stage sustainable operations when using two-stage DEA models. In order to overcome this methodological weakness, we use the multiple criteria DEA (MCDEA) approach in the evaluation of the two-stage processes. The outcome is a multiple criteria two-stage DEA model which yields more realistic weights for the inputs and outputs and thus has better discrimination power than traditional two-stage DEA models. The developed model is tested and validated by assessing the sustainable design performances of a sample of car product designs.
OriginalspråkEngelska
Referentgranskad vetenskaplig tidskriftTransportation Research Part D: Transport and Environment
Volym46
UtgåvaJuly
Sidor (från-till)317-327
Antal sidor11
ISSN1361-9209
DOI
StatusPublicerad - 2016
MoE-publikationstypA1 Originalartikel i en vetenskaplig tidskrift

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