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A Biased-Randomized Heuristic for the Home Healthcare Routing Problem

  • Manuel Eliseu
  • M. Isabel Gomes
  • Angel A. Juan
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 223)

Abstract

The home healthcare routing problem (HHRP) refers to the problem of allocating and routing caregivers to care-dependent people at their homes. It has been mostly tackled in the literature as a rich vehicle routing problem with time windows. This paper proposes a biased-randomized heuristic, based on the well-known savings heuristic, to solve the HHRP. The algorithm is tested in small but real-case instances where patients’ visits may occur more than once a day and, in such cases, all the visits have to be performed by the same caregiver. The results show the algorithm provides good quality results in reasonably low computing times.

Keywords

Home healthcare Vehicle routing problem with time windows Biased-randomized heuristic Real case instances 

Notes

Acknowledgements

This work was partially supported by the Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) through the project UID/MAT/00297/2013 (Centro de Matemática e Aplicações).

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Manuel Eliseu
    • 1
  • M. Isabel Gomes
    • 2
  • Angel A. Juan
    • 3
  1. 1.Faculty of Sciences and TechnologyNova University of LisbonLisbonPortugal
  2. 2.Centro de Matemática e Aplicações, Faculty of Sciences and TecnologyNova University of LisbonLisbonPortugal
  3. 3.IN3 - Computer Science DeptartmentOpen University of CataloniaBarcelonaSpain

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