Sustainable supplier selection and order allocation problem considering the agility and resilience dimensions: a novel multi-stage data-driven decision-making approach

AmirReza Tajally 1
, 
Benyamin Babakhani 2
, 
Emaad Jeyzanibrahimzade 3
, 
Mohammad Parvin 4
, 
Shirin Irani 1
1
 
2
 
CONCORDIA UNIVERSITY | 
3
 
4
 
Publication type: Journal Article
Publication date: 2025-02-05
Taylor & Francis
scimago Q2
wos Q2
SJR: 0.755
CiteScore: 6.3
Impact factor: 3.3
ISSN: 23302674, 23302682
Found 
Found 

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Tajally A. et al. Sustainable supplier selection and order allocation problem considering the agility and resilience dimensions: a novel multi-stage data-driven decision-making approach // International Journal of Systems Science: Operations and Logistics. 2025. Vol. 12. No. 1.
GOST all authors (up to 50) Copy
Tajally A., Babakhani B., Jeyzanibrahimzade E., Parvin M., Irani S. Sustainable supplier selection and order allocation problem considering the agility and resilience dimensions: a novel multi-stage data-driven decision-making approach // International Journal of Systems Science: Operations and Logistics. 2025. Vol. 12. No. 1.
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RIS Copy
TY - JOUR
DO - 10.1080/23302674.2025.2458756
UR - https://www.tandfonline.com/doi/full/10.1080/23302674.2025.2458756
TI - Sustainable supplier selection and order allocation problem considering the agility and resilience dimensions: a novel multi-stage data-driven decision-making approach
T2 - International Journal of Systems Science: Operations and Logistics
AU - Tajally, AmirReza
AU - Babakhani, Benyamin
AU - Jeyzanibrahimzade, Emaad
AU - Parvin, Mohammad
AU - Irani, Shirin
PY - 2025
DA - 2025/02/05
PB - Taylor & Francis
IS - 1
VL - 12
SN - 2330-2674
SN - 2330-2682
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Tajally,
author = {AmirReza Tajally and Benyamin Babakhani and Emaad Jeyzanibrahimzade and Mohammad Parvin and Shirin Irani},
title = {Sustainable supplier selection and order allocation problem considering the agility and resilience dimensions: a novel multi-stage data-driven decision-making approach},
journal = {International Journal of Systems Science: Operations and Logistics},
year = {2025},
volume = {12},
publisher = {Taylor & Francis},
month = {feb},
url = {https://www.tandfonline.com/doi/full/10.1080/23302674.2025.2458756},
number = {1},
doi = {10.1080/23302674.2025.2458756}
}