Binary Programming Model for Rostering Ambulance Crew-Relevance for the Management and Business

Aleksandra Marcikic Horvat, Branislav Dudic, Boris Radovanov, Boban Melovic, Otilija Sedlak and Monika Davidekova
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Aleksandra Marcikic Horvat: Faculty of Economics Subotica, University of Novi Sad, 24000 Subotica, Serbia
Branislav Dudic: Faculty of Management, Comenius University in Bratislava, 82005 Bratislava, Slovakia
Boris Radovanov: Faculty of Economics Subotica, University of Novi Sad, 24000 Subotica, Serbia
Boban Melovic: Faculty of Economics, University of Montenegro, 81000 Podgorica, Montenegro
Otilija Sedlak: Faculty of Economics Subotica, University of Novi Sad, 24000 Subotica, Serbia
Monika Davidekova: Faculty of Management, Comenius University in Bratislava, 82005 Bratislava, Slovakia

Mathematics, 2020, vol. 9, issue 1, 1-13

Abstract: The nature of health care services is very complex and specific, thus delays and organizational imperfections can cause serious and irreversible consequences, especially when dealing with emergency medical services. Therefore, constant improvements in various aspects of managing and organizing provision of emergency medical services are vital and unavoidable. The main goal of this paper is the development and application of a binary programming model to support decision making process, especially addressing scheduling workforce in organizations with stochastic demand. The necessary staffing levels and human resources allocation in health care organizations are often defined ad hoc, without empirical analysis and synchronization with the demand for emergency medical services. Thus, irrational allocation of resources can result in various negative impacts on the financial result, quality of medical services and satisfaction of both patients and employees. We start from the desired staffing levels determined in advance and try to find the optimal scheduling plan that satisfies all significant professional and regulatory constraints. In this paper a binary programming model has been developed and implemented in order to minimize costs, presented as the sum of required number of ambulance crews. The results were implemented for staff rostering process in the Ambulance Service Station in Subotica, Serbia. Compared to earlier scheduling done ad hoc at the station, the solution of the formulated model provides a better and equable engagement of crews. The developed model can be easily modified and applied to other organizations with the same, stochastic, nature of the demand.

Keywords: decision making; binary programming; scheduling; ambulance service; health care organizations (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
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