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The home health care problem with working regulations

Author

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  • Daniela Guericke

    (University of Paderborn
    University of Paderborn)

  • Leena Suhl

    (University of Paderborn)

Abstract

Due to the geographically dispersed locations of their clients, home health care providers have to perform a complex routing and scheduling task. Besides the well-researched routing problem, the adherence to legal and organizational working regulations is a basis for application in practice. These requirements are already widely incorporated in the nurse rostering problem for stationary institutions, but also have to be considered while generating routes for home care providers. We introduce new and adapted working regulations to the home health care problem. The mixed-integer formulation is adaptable to the requirements of different providers. Our numerical results show that an exact solution approach is noncompetitive with respect to computing time in most cases. We therefore propose a heuristic approach based on an adaptive large neighborhood search to cope with the complexity of the problem. The numerical results are computed on generated but realistic instances as well as on data sets provided in previous publications. The results show that the heuristic achieves good results in comparison to the mixed-integer program in only a portion of the computation time. Additional to a numerical analysis, we investigate the influence of the working regulations on the solutions which indicates the importance of modeling working regulations. If the regulations are neglected, a high number of violations are caused.

Suggested Citation

  • Daniela Guericke & Leena Suhl, 2017. "The home health care problem with working regulations," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 977-1010, October.
    • Handle: RePEc:spr:orspec:v:39:y:2017:i:4:d:10.1007_s00291-017-0481-3
    DOI: 10.1007/s00291-017-0481-3
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    References listed on IDEAS

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    1. David Pisinger & Stefan Ropke, 2010. "Large Neighborhood Search," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, chapter 0, pages 399-419, Springer.
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    Cited by:

    1. Daniel Badell & Jesica de Armas & Albert Julià, 2022. "Impact of Socioeconomic Environment on Home Social Care Service Demand and Dependent Users," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
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    3. Sacramento Quintanilla & Francisco Ballestín & Ángeles Pérez, 2020. "Mathematical models to improve the current practice in a Home Healthcare Unit," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 43-74, March.
    4. Mustafa Demirbilek & Juergen Branke & Arne K. Strauss, 2021. "Home healthcare routing and scheduling of multiple nurses in a dynamic environment," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 253-280, March.

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