Modeling and optimizing the evacuation of hospitals based on the MRCPSP with resource transfers

In this paper, we consider the problem of hospital evacuation and model it as a multi-mode resource-constrained project scheduling problem (MRCPSP) with additional resource transfers and blockings. Based on this model two heuristic decomposition approaches are proposed. The first uses a tabu search...

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Autores principales: Jens Poppenborg, Sigrid Knust
Formato: article
Lenguaje:EN
Publicado: Elsevier 2016
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Acceso en línea:https://doaj.org/article/da5fb8b7e31844dd8a9adc0802ee09d5
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spelling oai:doaj.org-article:da5fb8b7e31844dd8a9adc0802ee09d52021-12-02T05:00:56ZModeling and optimizing the evacuation of hospitals based on the MRCPSP with resource transfers2192-440610.1007/s13675-015-0061-8https://doaj.org/article/da5fb8b7e31844dd8a9adc0802ee09d52016-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S219244062100068Xhttps://doaj.org/toc/2192-4406In this paper, we consider the problem of hospital evacuation and model it as a multi-mode resource-constrained project scheduling problem (MRCPSP) with additional resource transfers and blockings. Based on this model two heuristic decomposition approaches are proposed. The first uses a tabu search algorithm for the mode assignment problem, the scheduling subproblem is solved by adapted serial and parallel schedule generation schemes using priority rules. The second is based on a decomposition into an evacuation and a routing subproblem where solutions are represented by resource flows. Computational experiments were performed for both approaches using randomly generated instances based on real-world scenarios.Jens PoppenborgSigrid KnustElsevierarticle90B3590C27Applied mathematics. Quantitative methodsT57-57.97Electronic computers. Computer scienceQA75.5-76.95ENEURO Journal on Computational Optimization, Vol 4, Iss 3, Pp 349-380 (2016)
institution DOAJ
collection DOAJ
language EN
topic 90B35
90C27
Applied mathematics. Quantitative methods
T57-57.97
Electronic computers. Computer science
QA75.5-76.95
spellingShingle 90B35
90C27
Applied mathematics. Quantitative methods
T57-57.97
Electronic computers. Computer science
QA75.5-76.95
Jens Poppenborg
Sigrid Knust
Modeling and optimizing the evacuation of hospitals based on the MRCPSP with resource transfers
description In this paper, we consider the problem of hospital evacuation and model it as a multi-mode resource-constrained project scheduling problem (MRCPSP) with additional resource transfers and blockings. Based on this model two heuristic decomposition approaches are proposed. The first uses a tabu search algorithm for the mode assignment problem, the scheduling subproblem is solved by adapted serial and parallel schedule generation schemes using priority rules. The second is based on a decomposition into an evacuation and a routing subproblem where solutions are represented by resource flows. Computational experiments were performed for both approaches using randomly generated instances based on real-world scenarios.
format article
author Jens Poppenborg
Sigrid Knust
author_facet Jens Poppenborg
Sigrid Knust
author_sort Jens Poppenborg
title Modeling and optimizing the evacuation of hospitals based on the MRCPSP with resource transfers
title_short Modeling and optimizing the evacuation of hospitals based on the MRCPSP with resource transfers
title_full Modeling and optimizing the evacuation of hospitals based on the MRCPSP with resource transfers
title_fullStr Modeling and optimizing the evacuation of hospitals based on the MRCPSP with resource transfers
title_full_unstemmed Modeling and optimizing the evacuation of hospitals based on the MRCPSP with resource transfers
title_sort modeling and optimizing the evacuation of hospitals based on the mrcpsp with resource transfers
publisher Elsevier
publishDate 2016
url https://doaj.org/article/da5fb8b7e31844dd8a9adc0802ee09d5
work_keys_str_mv AT jenspoppenborg modelingandoptimizingtheevacuationofhospitalsbasedonthemrcpspwithresourcetransfers
AT sigridknust modelingandoptimizingtheevacuationofhospitalsbasedonthemrcpspwithresourcetransfers
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