Baumann, Philipp (10 December 2017). Optimal staff assignment and routing in personalized home care. In: Proceedings of the 2017 IEEE International Conference on Industrial Engineering and Engineering Management. Singapore. 10.-13.12.2017. 10.1109/IEEM.2017.8290048
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Optimal Staff Assigment and Routing in Personalized Home Care.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (1MB) |
The increasing demand for labor intensive medical services such as personalized home care has contributed considerably to the rising cost of health care systems throughout the world. An efficient deployment of medical personnel has therefore become a priority for many medical service providers. In this paper, we address a real-world staff assignment and routing problem that was reported to us by a Swiss home care provider. The problem is to determine a multi-day visiting schedule that satisfies various constraints related to time windows, skill requirements, and the availability of personnel. Visiting schedules are evaluated based on service quality and deployment efficiency. We develop a novel mixed-binary linear programming formulation for this problem that is particularly efficient for long planning horizons. Our computational results demonstrate that the proposed formulation outperforms a recently-introduced formulation and is able to devise optimal or near-optimal solutions for real-world problem instances in short running times.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Financial Management > Professorship for Quantitative Methods in Business Administration |
UniBE Contributor: |
Baumann, Philipp |
Subjects: |
600 Technology > 650 Management & public relations |
Language: |
English |
Submitter: |
Juliana Kathrin Moser-Zurbrügg |
Date Deposited: |
04 Apr 2018 08:08 |
Last Modified: |
05 Dec 2022 15:11 |
Publisher DOI: |
10.1109/IEEM.2017.8290048 |
BORIS DOI: |
10.7892/boris.111910 |
URI: |
https://boris.unibe.ch/id/eprint/111910 |
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