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Scheduling healthcare services in a home healthcare system

Author

Listed:
  • Y-J An

    (Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea (South))

  • Y-D Kim

    (Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea (South))

  • B J Jeong

    (Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea (South))

  • S-D Kim

    (Hyundai Motor Company, Uiwang, Republic of Korea (South))

Abstract

We consider a scheduling problem in a home healthcare system in which nurses visit patients regularly for relatively minor healthcare services. Intervals between the visits may differ for different patients. On each day in the planning horizon, a nurse must visit the patients assigned to her/him on that day, and then return to the hospital. For the problem of determining the visiting schedule with the objective of minimizing total travel time of the nurse over the planning horizon, we develop a two-phase heuristic algorithm. To evaluate performance of the proposed algorithm, a series of computational tests is performed on a number of randomly generated problem instances and a real instance. Results of the tests show that the heuristic algorithm gives near optimal solutions for problems of practical sizes in a reasonable time.

Suggested Citation

  • Y-J An & Y-D Kim & B J Jeong & S-D Kim, 2012. "Scheduling healthcare services in a home healthcare system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(11), pages 1589-1599, November.
    • Handle: RePEc:pal:jorsoc:v:63:y:2012:i:11:p:1589-1599
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    Citations

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    Cited by:

    1. Elfe Buluc & Meltem Peker & Bahar Y. Kara & Manoj Dora, 2022. "Covering vehicle routing problem: application for mobile child friendly spaces for refugees," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 461-484, June.
    2. Nasir, Jamal Abdul & Kuo, Yong-Hong, 2024. "Stochastic home care transportation with dynamically prioritized patients: An integrated facility location, fleet sizing, and routing approach," Transportation Research Part B: Methodological, Elsevier, vol. 184(C).
    3. Rodríguez-Martín, Inmaculada & Yaman, Hande, 2022. "Periodic Vehicle Routing Problem with Driver Consistency and service time optimization," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 468-484.
    4. Chen, Yujie & Cowling, Peter & Polack, Fiona & Remde, Stephen & Mourdjis, Philip, 2017. "Dynamic optimisation of preventative and corrective maintenance schedules for a large scale urban drainage system," European Journal of Operational Research, Elsevier, vol. 257(2), pages 494-510.
    5. Biao Yuan & Zhibin Jiang, 2017. "Disruption Management for the Real-Time Home Caregiver Scheduling and Routing Problem," Sustainability, MDPI, vol. 9(12), pages 1-15, November.
    6. Rodríguez-Martín, Inmaculada & Salazar-González, Juan-José & Yaman, Hande, 2019. "The periodic vehicle routing problem with driver consistency," European Journal of Operational Research, Elsevier, vol. 273(2), pages 575-584.
    7. Sinem Kınay Savaşer & Bahar Yetis Kara, 2022. "Mobile healthcare services in rural areas: an application with periodic location routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(3), pages 875-910, September.

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