Viable healthcare supply chain network design for a pandemic
Open Access
- 9 September 2022
- journal article
- research article
- Published by Springer Nature in Annals of Operations Research
- Vol. 328 (1) , 35-73
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
Funding Information
- Royal Melbourne Institute of Technology
This publication has 52 references indexed in Scilit:
- Disruption risk management in service-level agreementsInternational Journal of Production Research, 2020
- Forward and reverse supply chain network design for consumer medical supplies considering biological riskComputers & Industrial Engineering, 2020
- Healthcare Supply Chain Simulation with Disruption Considerations: A Case Study from Northern ItalyGlobal Journal of Flexible Systems Management, 2019
- Supply Chain Network Redesign: A Technical Note on Optimising Financial PerformanceDecision Sciences, 2019
- A proposed healthcare supply chain management framework in the emerging economies with the sustainable lenses: The theory, the practice, and the policyResources, Conservation and Recycling, 2019
- Healthcare supply chain management: literature review and some issuesJournal of Advances in Management Research, 2018
- A novel multi-stage possibilistic stochastic programming approach (with an application in relief distribution planning)Information Sciences, 2017
- Epidemics control and logistics operations: A reviewInternational Journal of Production Economics, 2012
- Introduction to Stochastic Programming2011
- The Attribute-Dynamic Attitude Model (Adam)Management Science, 1976