| Literature DB >> 34104430 |
Vikas Agrawal1, Aber Elsaleiby2, Yue Zhang3, P S Sundararaghavan3, Andrew Casabianca4.
Abstract
In this paper, we address the problem of finding an assignment of n surgeries to be performed in one of m parallel identical operating rooms (ORs), given each surgery has a stochastic duration with a known mean and standard deviation. The objective is to minimise the maximum of the cth percentile of makespan of any OR. We formulate this problem as a nonlinear integer program, and small-sized instances are solved using the GAMS BONMIN solver. We develop a greedy heuristic and a genetic algorithm procedure for solving large-sized instances. Using real data from a major U.S. teaching hospital and benchmarking datasets from the literature, we report on the performance of the heuristics as compared to the GAMS BONMIN solver. © Operational Research Society 2019.Entities:
Keywords: Scheduling; heuristics; operating rooms
Year: 2019 PMID: 34104430 PMCID: PMC8143600 DOI: 10.1080/20476965.2019.1700763
Source DB: PubMed Journal: Health Syst (Basingstoke) ISSN: 2047-6965