| Literature DB >> 32288410 |
Nikolaos Rachaniotis1, Thomas K Dasaklis2, Costas Pappis2.
Abstract
Infectious disease outbreaks occurred many times in the past and are more likely to happen in the future. In this paper the problem of allocating and scheduling limited multiple, identical or non-identical, resources employed in parallel, when there are several infected areas, is considered. A heuristic algorithm, based on Shih's (1974) and Pappis and Rachaniotis' (2010) algorithms, is proposed as the solution methodology. A numerical example implementing the proposed methodology in the context of a specific disease outbreak, namely influenza, is presented. The proposed methodology could be of significant value to those drafting contingency plans and healthcare policy agendas. © Systems Engineering Society of China and Springer-Verlag Berlin Heidelberg 2017.Entities:
Keywords: Resource allocation; epidemics; healthcare management; heuristics
Year: 2017 PMID: 32288410 PMCID: PMC7104597 DOI: 10.1007/s11518-016-5327-z
Source DB: PubMed Journal: J Syst Sci Syst Eng Impact factor: 1.167