Vol.12, No.4, November 2023.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

An Optimization Model for Scheduling Additional Medical Personnel During a Pandemic


Elena Karamazova Gelova, Sonja Mančevska, Mirjana Kocaleva Vitanova


© 2023 Elena Karamazova Gelova, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 12, Issue 4, Pages 1979-1984, ISSN 2217-8309, DOI: 10.18421/TEM124-08, November 2023.


Received: 13 July 2023.

Revised:   27 September 2023.
Accepted: 09 October 2023.
Published: 27 November 2023.




The most severe and pervasive problems in modern healthcare systems occur during epidemics and pandemics. One of these problems is the reassignment and the rescheduling of the medical staff during the days of the critical weeks with a high number of infected patients, which, at the same time, amplifies the need for hiring additional medical staff. In this paper we are addressing the problem of the number of additional nurses that must be hired as part time workers, with the following objective: to satisfy the minimum number of nurses needed during the days of the critical weeks, while keeping the hospital costs as low as possible. The solution of this problem is obtained by a schedule of the additional personal based on four, partially overlapping shifts, which gave a reduction of the initial costs. It can be applied in any organization that is in need for additional staff, regardless of the reason.


Keywords –Scheduling, medical personnel, linear programming, COVID-19 pandemic.



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