Home health care daily planning considering the satisfaction of all the stakeholders
| Autor: | Elyes Lamine, Mustapha Derras, Franck Fontanili, Hervé Pingaud, Liwen Zhang, Pierre-Yves Bouchet, Christophe Bortolaso |
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| Přispěvatelé: | Centre Génie Industriel (CGI), IMT École nationale supérieure des Mines d'Albi-Carmaux (IMT Mines Albi), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire de Recherche Appliquée, Berger-Levrault, Rue Jean Rostand Labège, France, Laboratoire de Génie Chimique (LGC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Population ageing Metaheuristic formulation 021103 operations research Computer science media_common.quotation_subject Home Health Care 0211 other engineering and technologies Workload 02 engineering and technology Simulated annealing Scheduling (computing) [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation Home health Life expectancy Operations management Autonomy Short-term scheduling and routing media_common |
| Zdroj: | 2019 International Conference on Industrial Engineering and Systems Management (IESM) (ISBN 978-1-7281-1566-5) IESM 19-8th International Conference on Industrial Engineering and Systems Management IESM 19-8th International Conference on Industrial Engineering and Systems Management, Sep 2019, Shangai, China. p.1-6, ⟨10.1109/IESM45758.2019.8948201⟩ |
| DOI: | 10.1109/IESM45758.2019.8948201⟩ |
| Popis: | “© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, collecting new collected works for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”; International audience; Nowadays, the aging population and the growth of life expectancy lead to an increase of people experiencing frailty and therefore loss of autonomy. As there are not enough places available in specialized institutions, an alternative is Home Health Care (HHC) services. The HHC structure is willing to optimize the scheduling of the requested care services by satisfying the requirements of patients, the preferences of caregivers, and by balancing the workload among the different caregivers. The purpose of this paper is to propose a metaheuristic-oriented formulation and a simulated annealing algorithm for generating an optimal short-term (daily) routing and scheduling solution to reach maximum satisfaction among stakeholders (patients and caregivers) in an HHC system. With this method computed on a real-world dataset, we obtained satisfying scheduling solutions |
| Databáze: | OpenAIRE |
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