Nowadays, forward-thinking companies move beyond conventional structures of organizations and consider all parties of the supply chain. The objective of this paper is to present an adaptive network data envelopment analysis (DEA) model to evaluate overall and divisional efficiency of sustainable supply chains in the presence of desirable and undesirable outputs. Our adaptive network DEA model can assess overall and divisional efficiency of supply chains given managerial and natural disposability. Also, it suggests new investment opportunity given congestion type. A case study is presented.
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DOI : 10.1051/ro/2019059
Keywords: Network data envelopment analysis (NDEA), congestion, Sustainable supply chain management (SSCM), Range-adjusted measure (RAM), sustainable investment, undesirable outputs
@article{RO_2021__55_S1_S21_0,
author = {Hajaji, Hossein and Yousefi, Sara and Farzipoor Saen, Reza and Hassanzadeh, Amir},
title = {Recommending investment opportunities given congestion by adaptive network data envelopment analysis model: {Assessing} sustainability of supply chains},
journal = {RAIRO. Operations Research},
pages = {S21--S49},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
doi = {10.1051/ro/2019059},
mrnumber = {4237380},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2019059/}
}
TY - JOUR AU - Hajaji, Hossein AU - Yousefi, Sara AU - Farzipoor Saen, Reza AU - Hassanzadeh, Amir TI - Recommending investment opportunities given congestion by adaptive network data envelopment analysis model: Assessing sustainability of supply chains JO - RAIRO. Operations Research PY - 2021 SP - S21 EP - S49 VL - 55 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2019059/ DO - 10.1051/ro/2019059 LA - en ID - RO_2021__55_S1_S21_0 ER -
%0 Journal Article %A Hajaji, Hossein %A Yousefi, Sara %A Farzipoor Saen, Reza %A Hassanzadeh, Amir %T Recommending investment opportunities given congestion by adaptive network data envelopment analysis model: Assessing sustainability of supply chains %J RAIRO. Operations Research %D 2021 %P S21-S49 %V 55 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2019059/ %R 10.1051/ro/2019059 %G en %F RO_2021__55_S1_S21_0
Hajaji, Hossein; Yousefi, Sara; Farzipoor Saen, Reza; Hassanzadeh, Amir. Recommending investment opportunities given congestion by adaptive network data envelopment analysis model: Assessing sustainability of supply chains. RAIRO. Operations Research, Tome 55 (2021), pp. S21-S49. doi: 10.1051/ro/2019059
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