Literature DB >> 34104430

Minimax c th percentile of makespan in surgical scheduling.

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


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Journal:  J Clin Anesth       Date:  2010-06       Impact factor: 9.452

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Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-03-28       Impact factor: 2.745

3.  Optimization of surgery sequencing and scheduling decisions under uncertainty.

Authors:  Brian Denton; James Viapiano; Andrea Vogl
Journal:  Health Care Manag Sci       Date:  2007-02

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1.  Day Surgery Scheduling and Optimization in Large Public Hospitals in China: A Three-Station Job Shop Scheduling Problem.

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Journal:  J Healthc Eng       Date:  2022-07-30       Impact factor: 3.822

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