How, when, & where temporary hospitals fit in turbulent times: a hybrid MADM optimization in the middle east
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Author (Corporation)
Publication date
2023
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01A - Journal article
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Computers & Industrial Engineering
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Volume
175
Issue / Number
Pages / Duration
108761
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Publisher / Publishing institution
Elsevier
Place of publication / Event location
Amsterdam
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Abstract
Governments have been challenged to provide temporary hospitals and other types of facilities to face the COVID-19 pandemic. This research proposes a novel multi-attribute decision-making (MADM) model to help determine how, when, and where these temporary facilities should be installed based on a set of critical success factors (CSFs) mapped in an uncertain environment. We portray the available facilities for temporary hospitals based on the CSFs that must be considered to make critical decisions regarding the optimal position based on the government’s strategic decision-making process, thus indirectly providing better services and maximizing resources. In relation to earlier work, this research builds upon hybrid Pythagorean fuzzy numbers to find weights in Best-Worst Methods and rank temporary facilities based on evaluation by an area-based method for ranking. Policy implications and future directions are derived.
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0360-8352
1879-0550
1879-0550
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
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Closed
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Citation
Yazdi, A. K., Muneeb, F. M., Wanke, P. F., Hanne, T., & Ali, A. (2023). How, when, & where temporary hospitals fit in turbulent times: a hybrid MADM optimization in the middle east. Computers & Industrial Engineering, 175, 108761. https://doi.org/10.1016/j.cie.2022.108761