TY - JOUR
T1 - A joint measurement of efficiency and effectiveness for ranking power distribution units in Iran
T2 - Integrated data envelopment analysis approach
AU - Tavassoli, Mohammad
AU - Badizadeh, Taliva
AU - Saen, Reza Farzipoor
N1 - Publisher Copyright:
Copyright © 2017 Inderscience Enterprises Ltd.
PY - 2017
Y1 - 2017
N2 - In recent years, data envelopment analysis (DEA) has been widely used to assess both technical efficiency and technical effectiveness. Although a number of studies have focused on performance evaluation of power distribution units, this sort of studies are rare in Iran. This paper proposes an integrated slack-based measure (ISBM) approach to measure both technical efficiency and technical effectiveness of Iranian's power distribution units. The proposed SBM-DEA model represents both non-storable features of power distribution industry and production technologies in a unified framework. The proposed approach not only measures technical efficiency and effectiveness of power distribution units, but also estimates overall efficiency of distribution units.
AB - In recent years, data envelopment analysis (DEA) has been widely used to assess both technical efficiency and technical effectiveness. Although a number of studies have focused on performance evaluation of power distribution units, this sort of studies are rare in Iran. This paper proposes an integrated slack-based measure (ISBM) approach to measure both technical efficiency and technical effectiveness of Iranian's power distribution units. The proposed SBM-DEA model represents both non-storable features of power distribution industry and production technologies in a unified framework. The proposed approach not only measures technical efficiency and effectiveness of power distribution units, but also estimates overall efficiency of distribution units.
KW - Data envelopment analysis
KW - DEA
KW - Overall efficiency
KW - SBM.
KW - Slacks-based measure
KW - Technical effectiveness
KW - Technical efficiency
UR - http://www.scopus.com/inward/record.url?scp=85035759818&partnerID=8YFLogxK
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U2 - 10.1504/IJIDS.2017.088100
DO - 10.1504/IJIDS.2017.088100
M3 - Article
AN - SCOPUS:85035759818
SN - 1756-7017
VL - 9
SP - 353
EP - 368
JO - International Journal of Information and Decision Sciences
JF - International Journal of Information and Decision Sciences
IS - 4
ER -