Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach

Md Muzahid Khan 1
Imranul Bashar 1
Golam Morshed Minhaj 1
Absar Ishraq Wasi 1
Niamat Ullah Ibne Hossain 2
Publication typeJournal Article
Publication date2023-01-16
scimago Q2
wos Q2
SJR0.626
CiteScore6.7
Impact factor2.2
ISSN23789689, 23789697
Building and Construction
Civil and Structural Engineering
Geography, Planning and Development
Safety, Risk, Reliability and Quality
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GOST |
Cite this
GOST Copy
Khan M. M. et al. Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach // Sustainable and Resilient Infrastructure. 2023. pp. 1-17.
GOST all authors (up to 50) Copy
Khan M. M., Bashar I., Minhaj G. M., Wasi A. I., Hossain N. U. I. Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach // Sustainable and Resilient Infrastructure. 2023. pp. 1-17.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1080/23789689.2023.2165782
UR - https://doi.org/10.1080/23789689.2023.2165782
TI - Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach
T2 - Sustainable and Resilient Infrastructure
AU - Khan, Md Muzahid
AU - Bashar, Imranul
AU - Minhaj, Golam Morshed
AU - Wasi, Absar Ishraq
AU - Hossain, Niamat Ullah Ibne
PY - 2023
DA - 2023/01/16
PB - Taylor & Francis
SP - 1-17
SN - 2378-9689
SN - 2378-9697
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Khan,
author = {Md Muzahid Khan and Imranul Bashar and Golam Morshed Minhaj and Absar Ishraq Wasi and Niamat Ullah Ibne Hossain},
title = {Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach},
journal = {Sustainable and Resilient Infrastructure},
year = {2023},
publisher = {Taylor & Francis},
month = {jan},
url = {https://doi.org/10.1080/23789689.2023.2165782},
pages = {1--17},
doi = {10.1080/23789689.2023.2165782}
}