Home health care scheduling activities

Rym Ben Bachouch (rym.ben-bachouch-jacquin@univ-orleans.fr), Jihène Tounsi and Chouari Borhen
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Rym Ben Bachouch: Univ. Orléans, PRISME, CE - PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique [2008-2013] - UO - Université d'Orléans - ENSI Bourges - Ecole Nationale Supérieure d'Ingénieurs de Bourges
Jihène Tounsi: Université de Sousse, SMART-LAB - Strategies for Modelling and ARtificial inTelligence Laboratory - Université de Tunis
Chouari Borhen: Université de Sousse, SMART-LAB - Strategies for Modelling and ARtificial inTelligence Laboratory - Université de Tunis

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Abstract: In this paper, we are interested in the Home health care (HHC) scheduling problem. The HHC office needs to minimize traveling costs and to optimize caregiver assignment to patients. Scheduling patient visits have to take into account unexpected situations based on the latest scheduling information. We first analyze the HHC scheduling problem as deterministic, then discuss the dynamic challenges and propose a rescheduling approach based on genetic algorithm. A platform is designed to evaluate the proposed approach. The obtained results showed that the scheduling system is able to compute high quality schedules and can deal with urgent unpredictable situations.

Keywords: home health care; scheduling; routing; genetic algorithm; rescheduling (search for similar items in EconPapers)
Date: 2020-10-26
New Economics Papers: this item is included in nep-cmp and nep-hea
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Published in 10ème conférence Francophone en Gestion et Ingénierie des Systèmes Hospitaliers, GISEH2020, Oct 2020, Valenciennes, France

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