A multi-stage stochastic nurse staffing and scheduling model with work-policy bounded flexibility is reduced to a two-stage program and solved with a Generative Flow Network; Tan Tock Seng Hospital experiments show cost savings over deterministic planning and a regularity-flexibility trade-off.
First, the notation of consistent flow is intro- duced
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A Nurse Staffing and Scheduling Problem with Bounded Flexibility and Demand Uncertainty
A multi-stage stochastic nurse staffing and scheduling model with work-policy bounded flexibility is reduced to a two-stage program and solved with a Generative Flow Network; Tan Tock Seng Hospital experiments show cost savings over deterministic planning and a regularity-flexibility trade-off.