Operational Decision Support Models and Algorithms for Hospital Admission Planning and Scheduling KU Leuven
The present dissertation focuses on developing operational decision support models and algorithms for hospital admission planning and scheduling. The aim is to increase efficient usage of key hospital resources by supporting human planners at hospital admission offices with automated tools for their daily and weekly decision making. Three planning processes concerned with admission scheduling of patients are considered: assignment of admitted ...