How to improve the future efficiency of Covid-19 treatment centers? A hybrid framework combining artificial neural network and congestion approach of data envelopment analysis

Saeed Yousefi, Hadi Shabanpour, Kian Ghods and Reza Farzipoor Saen

Article (2023)

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Department:	Department of Mathematics and Industrial Engineering
PolyPublie URL:	https://publications.polymtl.ca/53306/
Journal Title:	Computers & Industrial Engineering (vol. 176)
Publisher:	Elsevier
DOI:	10.1016/j.cie.2022.108933
Official URL:	https://doi.org/10.1016/j.cie.2022.108933
Date Deposited:	18 Apr 2023 14:58
Last Modified:	08 Apr 2025 07:22

Cite in APA 7:	Yousefi, S., Shabanpour, H., Ghods, K., & Saen, R. F. (2023). How to improve the future efficiency of Covid-19 treatment centers? A hybrid framework combining artificial neural network and congestion approach of data envelopment analysis. Computers & Industrial Engineering, 176, 108933 (11 pages). https://doi.org/10.1016/j.cie.2022.108933
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