Abstract
Nowadays, Home health care (HHC) procurement has become a hot topic of research in recent years due to the importance of HHC services for the care of the elderly. With the growth of the percentage of elderly people in different cases, we are witnessing concerns about providing health services to these people in the community. With getting older, the demand for Home Health Care increases. HHC includes a wide range of medical, paramedical and social services that can be provided at home and can be an alternative to receiving these services in a location other than the hospital. Also, due to the possibility of conflict in different countries in the future, with the spread of diseases such as Covid-19 and turning all the facilities and medical and health potential of countries to these epidemics, the need for medical services and home care for the elderly and sick people increases. In this research, a green routing problem is designed for the Home Health care network for the elderly. The network is structured in such a way that the medical service provider with services teams provides services to a group of patients located in a geographical area. The problem is presented as a multi-period mixed integer mathematical model. The purpose of the model is to maximize profits under carbon dioxide emission limits. In this model, an attempt has been made to address the environmental aspects as well. Finally, the mathematical model is solved in GAMS software with numerical examples and its results and performance are presented.
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This research has been financially supported by The Analytical Center for the Government of the Russian Federation (Agreement No. 70-2021-00143 dd. 01.11.2021, IGK 000000D730321P5Q0002).
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Garjan, H.S., Molaei, A.A., Goodarzian, F., Abraham, A. (2022). Designing Green Routing and Scheduling for Home Health Care. In: Abraham, A., et al. Innovations in Bio-Inspired Computing and Applications. IBICA 2021. Lecture Notes in Networks and Systems, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-96299-9_47
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DOI: https://doi.org/10.1007/978-3-030-96299-9_47
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