The ASP-based Nurse Scheduling System at the University of Yamanashi Hospital
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866911357246373888 |
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| author | Nabeshima, Hidetomo Banbara, Mutsunori Schaub, Torsten Soh, Takehide |
| author_facet | Nabeshima, Hidetomo Banbara, Mutsunori Schaub, Torsten Soh, Takehide |
| contents | We present the design principles of a nurse scheduling system built using Answer Set Programming (ASP) and successfully deployed at the University of Yamanashi Hospital. Nurse scheduling is a complex optimization problem requiring the reconciliation of individual nurse preferences with hospital staffing needs across various wards. This involves balancing hard and soft constraints and the flexibility of interactive adjustments. While extensively studied in academia, real-world nurse scheduling presents unique challenges that go beyond typical benchmark problems and competitions. This paper details the practical application of ASP to address these challenges at the University of Yamanashi Hospital, focusing on the insights gained and the advancements in ASP technology necessary to effectively manage the complexities of real-world deployment.
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| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_13600 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The ASP-based Nurse Scheduling System at the University of Yamanashi Hospital Nabeshima, Hidetomo Banbara, Mutsunori Schaub, Torsten Soh, Takehide Artificial Intelligence We present the design principles of a nurse scheduling system built using Answer Set Programming (ASP) and successfully deployed at the University of Yamanashi Hospital. Nurse scheduling is a complex optimization problem requiring the reconciliation of individual nurse preferences with hospital staffing needs across various wards. This involves balancing hard and soft constraints and the flexibility of interactive adjustments. While extensively studied in academia, real-world nurse scheduling presents unique challenges that go beyond typical benchmark problems and competitions. This paper details the practical application of ASP to address these challenges at the University of Yamanashi Hospital, focusing on the insights gained and the advancements in ASP technology necessary to effectively manage the complexities of real-world deployment. |
| title | The ASP-based Nurse Scheduling System at the University of Yamanashi Hospital |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2506.13600 |