Data for 'Generating balanced workload allocations in hospitals'

Published: 13 April 2023| Version 1 | DOI: 10.17632/3mv4rtxtfs.1
Pieter Smet


This is the data set used in the computational study reported in the paper 'Generating balanced workload allocations in hospitals'. The data set consists of 1000 problem instances that were generated based on real data from a single large hospital in Belgium. Each problem instance describes a number of hospital wards (capacities, specializations), operating rooms (master surgery schedule) and patients to be admitted (admission time windows, length of stay, surgery duration, specialization). Details on how to interpret the files can be found in the README.pdf file.



Combinatorial Optimization, Resource-Constrained Scheduling