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Home health care scheduling activities

Author

Listed:
  • 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)

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.

Suggested Citation

  • Rym Ben Bachouch & Jihène Tounsi & Chouari Borhen, 2020. "Home health care scheduling activities," Post-Print hal-03229580, HAL.
    • Handle: RePEc:hal:journl:hal-03229580
    Note: View the original document on HAL open archive server: https://hal.science/hal-03229580
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    References listed on IDEAS

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    1. Shi, Yong & Boudouh, Toufik & Grunder, Olivier, 2019. "A robust optimization for a home health care routing and scheduling problem with consideration of uncertain travel and service times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 52-95.
    2. Vila Goncalves Filho, Eduardo & Jose Tiberti, Alexandre, 2006. "A group genetic algorithm for the machine cell formation problem," International Journal of Production Economics, Elsevier, vol. 102(1), pages 1-21, July.
    3. Sachidanand V. Begur & David M. Miller & Jerry R. Weaver, 1997. "An Integrated Spatial DSS for Scheduling and Routing Home-Health-Care Nurses," Interfaces, INFORMS, vol. 27(4), pages 35-48, August.
    4. Braekers, Kris & Hartl, Richard F. & Parragh, Sophie N. & Tricoire, Fabien, 2016. "A bi-objective home care scheduling problem: Analyzing the trade-off between costs and client inconvenience," European Journal of Operational Research, Elsevier, vol. 248(2), pages 428-443.
    5. Gang Du & Xi Liang & Chuanwang Sun, 2017. "Scheduling Optimization of Home Health Care Service Considering Patients’ Priorities and Time Windows," Sustainability, MDPI, vol. 9(2), pages 1-22, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    home health care; scheduling; routing; genetic algorithm; rescheduling;
    All these keywords.

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