Local search for the surgery admission planning problem

Citation

Riise A & Burke E (2011) Local search for the surgery admission planning problem. Journal of Heuristics, 17 (4), pp. 389-414. https://doi.org/10.1007/s10732-010-9139-x

Abstract
We present a model for the surgery admission planning problem, and a meta-heuristic algorithm for solving it. The problem involves assigning operating rooms and dates to a set of elective surgeries, as well as scheduling the surgeries of each day and room. Simultaneously, a schedule is created for each surgeon to avoid double bookings. The presented algorithm uses simple Relocate and Two-Exchange neighbourhoods, governed by an iterated local search framework. The problem's search space associated with these move operators is analysed for three typical fitness surfaces, representing different compromises between patient waiting time, surgeon overtime, and waiting time for children in the morning on the day of surgery. The analysis shows that for the same problem instances, the different objectives give fitness surfaces with quite different characteristics. We present computational results for a set of benchmarks that are based on the admission planning problem in a chosen Norwegian hospital.

Keywords
Surgery allocation; Surgery scheduling; Surgery admission planning; Operating theatre planning; Meta-heuristics; Iterated local search; Search space analysis ; Health service administration Norway ; Operations, Surgical Scheduling ; Time management ; Hospitals Admission and discharge ; Surgeons Norway

Journal
Journal of Heuristics: Volume 17, Issue 4

• Local search for the surgery admission planning problem.pdf