Viable healthcare supply chain network design for a pandemic

Mehdi Alizadeh (), Mir Saman Pishvaee (), Hamed Jahani (), Mohammad Mahdi Paydar () and Ahmad Makui ()
Additional contact information
Mehdi Alizadeh: Iran University of Science and Technology
Mir Saman Pishvaee: Iran University of Science and Technology
Hamed Jahani: RMIT University
Mohammad Mahdi Paydar: Babol Noshirvani University of Technology
Ahmad Makui: Iran University of Science and Technology

Annals of Operations Research, 2023, vol. 328, issue 1, No 3, 35-73

Abstract: Abstract The recent COVID-19 pandemic revealed that healthcare networks must have a flexible and effective structure. In this study, we develop a viable healthcare network design for a pandemic using a multi-stage stochastic approach. We propose a multi-level network that includes health centers, computed tomography scan centers, hospitals, and clinics. Patients have conditions to returning to normal life or quarantining at home. Three objectives are defined: maximizing the probability of patient recovery, minimizing the costs of all centers in the network, and minimizing the Coronavirus death rate. We investigate a real case study in Iran to demonstrate the model’s applicability. Finally, we compare the healthcare supply chain network design in a pandemic with a normal situation to advise how the network can continue to remain viable.

Keywords: Viable healthcare; Multi-stage stochastic programming; COVID-19; Supply chain network design (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10479-022-04934-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:328:y:2023:i:1:d:10.1007_s10479-022-04934-7

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-022-04934-7

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().