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http://hdl.handle.net/10362/75312| Title: | A biased-randomized heuristic for the home healthcare routing problem |
| Author: | Eliseu, Manuel Gomes, M. Isabel Juan, Angel A. |
| Keywords: | Biased-randomized heuristic Home healthcare Real case instances Vehicle routing problem with time windows Mathematics(all) |
| Issue Date: | 1-Jan-2018 |
| Publisher: | Springer New York LLC |
| 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. |
| Description: | |
| Peer review: | yes |
| URI: | http://www.scopus.com/inward/record.url?scp=85042539203&partnerID=8YFLogxK |
| DOI: | https://doi.org/10.1007/978-3-319-71583-4_5 |
| ISBN: | 978-3-319-71582-7 978-3-319-71583-4 |
| Appears in Collections: | Home collection (FCT) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_EliseuGomes_Juan_IO2018_.pdf | 426,27 kB | Adobe PDF | View/Open |
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