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• W4307729114 abstract "Resource sharing among different communities and medical centers is an effective method to solve the inefficiency of healthcare resource use and unequal distribution of medical resources across regions. This study aims at optimizing the resource arrangement in home health care services by multi-resources co-scheduling. Specifically, we consider several important constraints including cross-distinct income in the constructed model. A Multi-Regions Tabu Search Algorithm is proposed to realize co-scheduling of multi-medical-staff in different communities to improve the calculation speed and obtain a better solution. We take the PuTuo district in Shanghai as an example for empirical analysis to verify the effectiveness of the proposed model and algorithm. Sensitivity analysis is then conducted by changing the service capabilities of communities. Results indicate that the total cost can be effectively reduced by multi-resources co-scheduling under different service capacities. However, the levels of cost reduction are distinct in different situations. • We optimize resources arrangement in home healthcare service by multi-resources co- scheduling. • We propose a Multi-Regions-Tabu Search Algorithm to realize co-scheduling of multi-medical-staffs in different communities. • The empirical analysis verified the effectiveness of the proposed model and algorithm. • The total cost can be effectively reduced by multi-resources co-scheduling." @default.
• W4307729114 created "2022-11-05" @default.
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• W4307729114 date "2022-12-01" @default.
• W4307729114 modified "2023-10-16" @default.
• W4307729114 title "Multi-resources co-scheduling optimization for home healthcare services under the constraints of service time windows and green transportation" @default.
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• W4307729114 doi "https://doi.org/10.1016/j.asoc.2022.109746" @default.
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