An analytics-driven optimization framework for nurse scheduling under uncertainty
- DOI
- 10.1016/j.health.2026.100462
- Published
- 2026-06
- Container
- Healthcare Analytics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.health.2026.100462,
title = {An analytics-driven optimization framework for nurse scheduling under uncertainty},
author = {Hadil Chorfi and Yassine Ouazene and Yasmine Alaouchiche and Farouk Yalaoui},
year = {2026},
journal = {Healthcare Analytics},
doi = {10.1016/j.health.2026.100462},
url = {https://doi.org/10.1016/j.health.2026.100462}
}RIS
TY - JOUR TI - An analytics-driven optimization framework for nurse scheduling under uncertainty AU - Hadil Chorfi AU - Yassine Ouazene AU - Yasmine Alaouchiche AU - Farouk Yalaoui PY - 2026 JO - Healthcare Analytics DO - 10.1016/j.health.2026.100462 UR - https://doi.org/10.1016/j.health.2026.100462 ER -
APA
Chorfi, H., Ouazene, Y., Alaouchiche, Y., & Yalaoui, F. (2026). An analytics-driven optimization framework for nurse scheduling under uncertainty. Healthcare Analytics. https://doi.org/10.1016/j.health.2026.100462
Source records
- crossref · retrieved 2026-11-10T16:41:27.905Z