TY - JOUR
T1 - A new fuzzy network data envelopment analysis model for measuring efficiency and effectiveness
T2 - assessing the sustainability of railways
AU - Tavassoli, Mohammad
AU - Saen, Reza Farzipoor
N1 - Funding Information:
The authors would like to appreciate four Reviewers for their constructive comments.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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PY - 2022/9
Y1 - 2022/9
N2 - Sustainability assessment of organizations in terms of technical efficiency (TE) and service effectiveness (SE) for non-storage goods has always been an interesting topic for managers and scholars. This paper develops a novel non-radial network data envelopment analysis (NDEA) model to assess the performance of railways in terms of overall efficiency (OE), TE, SE, and technical effectiveness (TEF) with sustainability considerations. Then, the fuzzy version of our proposed NDEA model is introduced. Our fuzzy NDEA model is based on the slacks-based measure (SBM) model. The developed model can deal with both qualitative and quantitative criteria and has important features, including unit invariant, monotone, projection, benchmarking, and factor efficiency index. A case study shows the applicability of the proposed model. The results reveal that the highest and the lowest average sustainability scores belong to TE and TEF, respectively. After identifying the weaknesses of railways, we discuss how to improve their sustainability.
AB - Sustainability assessment of organizations in terms of technical efficiency (TE) and service effectiveness (SE) for non-storage goods has always been an interesting topic for managers and scholars. This paper develops a novel non-radial network data envelopment analysis (NDEA) model to assess the performance of railways in terms of overall efficiency (OE), TE, SE, and technical effectiveness (TEF) with sustainability considerations. Then, the fuzzy version of our proposed NDEA model is introduced. Our fuzzy NDEA model is based on the slacks-based measure (SBM) model. The developed model can deal with both qualitative and quantitative criteria and has important features, including unit invariant, monotone, projection, benchmarking, and factor efficiency index. A case study shows the applicability of the proposed model. The results reveal that the highest and the lowest average sustainability scores belong to TE and TEF, respectively. After identifying the weaknesses of railways, we discuss how to improve their sustainability.
KW - Data envelopment analysis (DEA)
KW - Fuzzy network slacks-based measure (SBM)
KW - Service effectiveness
KW - Sustainability
KW - Technical effectiveness
KW - Technical efficiency
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U2 - 10.1007/s10489-022-03336-3
DO - 10.1007/s10489-022-03336-3
M3 - Article
AN - SCOPUS:85126546437
SN - 0924-669X
VL - 52
SP - 13634
EP - 13658
JO - Applied Intelligence
JF - Applied Intelligence
IS - 12
M1 - 12
ER -