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A Two-Phase Method for Robust Home Healthcare Problem: A Case Study

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Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS,volume 316)

Abstract

The adoption of home healthcare is occurring rapidly because it decreases pressure on in-patient hospital beds by providing care to patients at home. This paper proposes a novel hybrid approach to solving the uncertain problems associated with a robust home healthcare model. In the first phase of this two-phase robust approach, the qualified candidate locations for health facilities are selected by using a fuzzy analytic hierarchy process and grey rational analysis. In the second phase, a robust model considering several aspects such as over-qualification cost, violation of service time, and overtime is proposed. The objective function minimizes the total cost. Finally, a case study from the city of Sanandaj, Iran, is utilized to validate the solution in a real-world situation.

Keywords

  • Home healthcare
  • Routing
  • Scheduling
  • Fuzzy analytic hierarchy process
  • Grey rational analysis
  • Robust optimization

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  • DOI: 10.1007/978-3-030-39694-7_15
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Correspondence to Mahdyeh Shiri .

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Shiri, M., Ahmadizar, F., Mahmoudzadeh, H., Bashiri, M. (2020). A Two-Phase Method for Robust Home Healthcare Problem: A Case Study. In: Bélanger, V., Lahrichi, N., Lanzarone, E., Yalçındağ, S. (eds) Health Care Systems Engineering. ICHCSE 2019. Springer Proceedings in Mathematics & Statistics, vol 316. Springer, Cham. https://doi.org/10.1007/978-3-030-39694-7_15

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