Call for Papers
Annals of Operations Research
Special Issue: Operations Research and Management Science Approaches for Fighting Against Epidemic
Outbreaks Such as COVID-19
Annals of Operations Research seeks submissions for a special issue on
Operations Research and Management Science Approaches for Fighting Against Epidemic Outbreaks Such
as COVID-19. The deadline for submission is 01 January 2021
OR and MS approaches can play significant roles in improving the design and operations
of many activities related to epidemic outbreaks: improving the operation of the
healthcare system, reducing the performance loss of industries, and supporting the
corresponding governmental decision makers [1, 2]. Three main research streams are
introduced for this issue:
1- During epidemic outbreaks, many planning problems related to non-business supply chain
systems, such as public and governmental ones, have emerged to support healthcare systems
and affected populations. Although there is a wealth of works in the planning of humanitarian
relief chains under disaster events [3, 4, 5, 6], some specialized problems under
epidemic outbreaks (e.g., planning of distribution systems to supply essential items
and main resources for the self-quarantined population and/or medical centers, and inventory
control and stockpiling of medical and essential items) are scarcely addressed .
2- Streamlining healthcare operations is another primary goal of OR/MS applications. Some
potential works are: dispatching ambulances through the healthcare system for quick response,
siting temporary medical centers, delivering medical home care, allocating resources
effectively [7, 8], and planning the workload of hospitals and
3- OR and MS tools can also support governmental decision makers to: lockdown or
regulate some stores, restaurants, and public services, public facilities, and
organizations; quarantine the population in some areas; manage the operation of public
transportation fleets to prevent the virus spread; and address online retailing challenges in the
face of greater demand and decrease of drivers in epidemic outbreaks.
In most of the above mentioned problems, decision makers are faced with various
uncertainties related to the impacts of epidemic outbreaks. Therefore, to deal with them, in
addition to traditional modeling approaches, such as facility location, vehicle routing, queuing,
and integer programming, advanced approaches in dealing with existing uncertainties
Instructions for authors can be found at:
Authors should submit a cover letter and a manuscript by 01 January 2021 via the
Journal’s online submission site. Manuscripts submitted after the deadline may not be
considered for the special issue and may be transferred to a regular issue.
Please see the Author Instructions on the website if you have not yet submitted a paper through
Springer's web-based system, Editorial Manager.
When prompted for the article type, please select Original Research.
You will then be asked if the manuscript belongs to a special issue, please
choose the special issue’s title, OR and MS Approaches for Fighting Against Epidemic Outbreaks
Such as COVID-19, to ensure that it will be reviewed for this special issue.
Papers will be subject to a strict review process managed by the Guest Editor and
accepted papers will be published online individually, before print publication.
Dr. Kannan Govindan PhD
Professor and Centre Head
DIAS – Chair of Technical Science
Centre for Sustainable Supply Chain Engineering Department of Technology and Innovation Campusvej
DK5230 Odense M DENMARK
E-mail: [email protected]
 Dasaklis, T. K., Pappis, C. P., & Rachaniotis, N. P. (2012). Epidemics control and
logistics operations: a review. International Journal of Production Economics, 139(2),
 Govindan, K., Mina, H., & Alavi, B. (2020). A decision support system for demand management in
healthcare supply chains considering the epidemic outbreaks: a case study of
coronavirus disease 2019 (COVID-19). Transportation Research Part E: Logistics and
Transportation Review, 101967.
 Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design
under uncertainty: a comprehensive review and future research
directions. European Journal of Operational Research, 263(1), 108–141.
 Banomyong, R., Varadejsatitwong, P., & Oloruntoba, R. (2019). A systematic review of
humanitarian operations, humanitarian logistics and humanitarian supply chain
performance literature 2005 to 2016. Annals of Operations Research, 283(1–2), 71–86.
 Griffith, D. A., Boehmke, B., Bradley, R. V., Hazen, B. T., & Johnson, A. W. (2019). Embedded
analytics: improving decision support for humanitarian logistics operations.
Annals of Operations Research, 283(1–2), 247–265.
 Yu, L., Yang, H., Miao, L., & Zhang, C. (2019). Rollout algorithms for resource
allocation in humanitarian logistics. IISE Transactions, 51(8), 887–909.
 Zaric, G. S., & Brandeau, M. L. (2002). Dynamic resource allocation for epidemic control in
multiple populations. Mathematical Medicine and Biology, 19(4), 235–255.
 Mehrotra, S., Rahimian, H., Barah, M., Luo, F., & Schantz, K. (2020). A Model of Supply-Chain
Decisions for Resource Sharing with an Application to Ventilator
Allocation to Combat COVID-19. arXiv preprint arXiv:2004.01318.