Assessing cross-docking performance using a novel network DEA model regarding sustainability and undesirable factors under uncertainty

Publication type: Journal Article
Publication date: 2024-12-07
Taylor & Francis
scimago Q2
wos Q2
SJR: 0.755
CiteScore: 6.3
Impact factor: 3.3
ISSN: 23302674, 23302682
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Allaei A. S. et al. Assessing cross-docking performance using a novel network DEA model regarding sustainability and undesirable factors under uncertainty // International Journal of Systems Science: Operations and Logistics. 2024. Vol. 11. No. 1.
GOST all authors (up to 50) Copy
Allaei A. S., Vahdani B., Gholami H. R., Alinezhad A. Assessing cross-docking performance using a novel network DEA model regarding sustainability and undesirable factors under uncertainty // International Journal of Systems Science: Operations and Logistics. 2024. Vol. 11. No. 1.
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RIS Copy
TY - JOUR
DO - 10.1080/23302674.2024.2436182
UR - https://www.tandfonline.com/doi/full/10.1080/23302674.2024.2436182
TI - Assessing cross-docking performance using a novel network DEA model regarding sustainability and undesirable factors under uncertainty
T2 - International Journal of Systems Science: Operations and Logistics
AU - Allaei, A. S.
AU - Vahdani, Behnam
AU - Gholami, H R
AU - Alinezhad, A
PY - 2024
DA - 2024/12/07
PB - Taylor & Francis
IS - 1
VL - 11
SN - 2330-2674
SN - 2330-2682
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Allaei,
author = {A. S. Allaei and Behnam Vahdani and H R Gholami and A Alinezhad},
title = {Assessing cross-docking performance using a novel network DEA model regarding sustainability and undesirable factors under uncertainty},
journal = {International Journal of Systems Science: Operations and Logistics},
year = {2024},
volume = {11},
publisher = {Taylor & Francis},
month = {dec},
url = {https://www.tandfonline.com/doi/full/10.1080/23302674.2024.2436182},
number = {1},
doi = {10.1080/23302674.2024.2436182}
}