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Shift Planning Optimization in Regional Home Care Services in Switzerland
Art der Publikation: Artikel in einem Konferenzbericht
Zitat:
Publication status: Accepted
Buchtitel: AI days HES-SO '25, Geneva, Switzerland, 2025-01-27, 2025-01-29
Jahr: 2025
Monat: Januar
Seiten: 6
DOI: https://doi.org/10.26039/w7wa-wq88
Abriss: This paper presents a solution to optimize the scheduling of carer shifts in home care services in a regional setting in Switzerland. To achieve this, all necessary data is sent to a shift planning algorithm using constraint satisfaction, which is embedded within a module accessed via an API. This algorithm generates optimized daily schedules for each carer based on the received data, considering factors such as carer roles, absences, travel routes, and patient preferences. The generated schedules are then returned to and integrated within the home care software, where they can still be manually adjusted by the planner if needed. First tests show the feasibility of the approach.
Schlagworte: Constraint Satisfaction, Home Care Services, Shift Planning
Autoren Jaggi, Ismael
Eyholzer, Sebastien
Faudeil, Luc
Duc, Alain
Schumacher, Michael
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