TY - JOUR
T1 - A new DEA model for technology selection in the presence of ordinal data
AU - Amin, Gholam R.
AU - Emrouznejad, Ali
PY - 2012/4/1
Y1 - 2012/4/1
N2 - This paper suggests a data envelopment analysis (DEA) model for selecting the most efficient alternative in advanced manufacturing technology in the presence of both cardinal and ordinal data. The paper explains the problem of using an iterative method for finding the most efficient alternative and proposes a new DEA model without the need of solving a series of LPs. A numerical example illustrates the model, and an application in technology selection with multi-inputs/multi-outputs shows the usefulness of the proposed approach.
AB - This paper suggests a data envelopment analysis (DEA) model for selecting the most efficient alternative in advanced manufacturing technology in the presence of both cardinal and ordinal data. The paper explains the problem of using an iterative method for finding the most efficient alternative and proposes a new DEA model without the need of solving a series of LPs. A numerical example illustrates the model, and an application in technology selection with multi-inputs/multi-outputs shows the usefulness of the proposed approach.
KW - Data envelopment analysis (DEA)
KW - Decision-making units (DMUs)
KW - Ordinal data
KW - Technology selection
UR - http://www.scopus.com/inward/record.url?scp=84880571179&partnerID=8YFLogxK
UR - http://link.springer.com/article/10.1007%2Fs00170-012-4280-3
U2 - 10.1007/s00170-012-4280-3
DO - 10.1007/s00170-012-4280-3
M3 - Article
AN - SCOPUS:84880571179
SN - 0268-3768
VL - 65
SP - 1567
EP - 1572
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 9-12
ER -