Abstract
In today’s competitive world, one of the most important goals for home health care (HHC) companies is responding to the patient’s demand, immediately and being on time for it. Based on feedback from home health care networks (HHCNs), caregivers and nurses should encounter some ambiguities when performing a specific plan for visiting patients. In this study, we presented a model for a Home Health Care Routing and Scheduling Problem (HHCRSP) by considering the time window. Due to the time limit of nurses during the day, this constraint has been added to the model. This constraint is a nonlinear constraint that is linearized later in the article. Three meta-heuristic algorithms include Tabu search, variable neighborhood search, and particle swarm optimization are used to solve the model. Computational results are presented and demonstrate the effectiveness of the approaches.
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Ferdowsi, A., Taghanaki, R.B., Abraham, A. (2021). Novel Routing-Scheduling Problem for Home Health Care Network. In: Abraham, A., Sasaki, H., Rios, R., Gandhi, N., Singh, U., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2020. Advances in Intelligent Systems and Computing, vol 1372. Springer, Cham. https://doi.org/10.1007/978-3-030-73603-3_6
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DOI: https://doi.org/10.1007/978-3-030-73603-3_6
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