article

A Progressive Hedging Approach for Surgery Planning Under Uncertainty

Authors:

Brian T. Denton,

John W. FowlerAuthors Info & Claims

INFORMS Journal on Computing, Volume 27, Issue 4

Pages 755 - 772

https://doi.org/10.1287/ijoc.2015.0658

Published: 01 November 2015 Publication History

Abstract

We propose a multistage stochastic mixed-integer programming formulation for the assignment of surgeries to operating rooms over a finite planning horizon. We consider the demand for and the duration of surgery to be random variables. The objective is to minimize three competing criteria: expected cost of surgery cancellations, patient waiting time, and operating room overtime. We discuss properties of the model and an implementation of the progressive hedging algorithm to find near-optimal surgery schedules. We conduct numerical experiments using data from a large hospital to identify managerial insights related to surgery planning and the avoidance of surgery cancellations. We compare the progressive hedging algorithm to an easy-to-implement heuristic for practical problem instances to estimate the value of the stochastic solution. Finally, we discuss an implementation of the progressive hedging algorithm within a rolling horizon framework for extended planning periods.

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Cited By

Daryalal MBodur MLuedtke J(2024)Lagrangian Dual Decision Rules for Multistage Stochastic Mixed-Integer ProgrammingOperations Research10.1287/opre.2022.236672:2(717-737)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1287/opre.2022.2366
Li JChu FChe AYin Y(2023)A Three-Stage Relief Network Design Approach for Predictable Disasters Considering Time-Dependent UncertaintyIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.334231925:6(5418-5434)Online publication date: 20-Dec-2023
https://dl.acm.org/doi/10.1109/TITS.2023.3342319
Wu QXie NShao Y(2021)Day surgery appointment scheduling with patient preferences and stochastic operation durationTechnology and Health Care10.3233/THC-19208629:4(697-708)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/THC-192086
Show More Cited By

A Progressive Hedging Approach for Surgery Planning Under Uncertainty
1. Applied computing
2. Theory of computation
  1. Design and analysis of algorithms
    1. Approximation algorithms analysis
    2. Online algorithms
      1. Online learning algorithms
  2. Theory and algorithms for application domains
    1. Machine learning theory
      1. Reinforcement learning

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Published In

cover image INFORMS Journal on Computing

INFORMS Journal on Computing Volume 27, Issue 4

November 2015

69 pages

ISSN:1526-5528

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INFORMS

Linthicum, MD, United States

Publication History

Published: 01 November 2015

Accepted: 01 May 2015

Received: 01 August 2013

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Cited By

Daryalal MBodur MLuedtke J(2024)Lagrangian Dual Decision Rules for Multistage Stochastic Mixed-Integer ProgrammingOperations Research10.1287/opre.2022.236672:2(717-737)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1287/opre.2022.2366
Li JChu FChe AYin Y(2023)A Three-Stage Relief Network Design Approach for Predictable Disasters Considering Time-Dependent UncertaintyIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.334231925:6(5418-5434)Online publication date: 20-Dec-2023
https://dl.acm.org/doi/10.1109/TITS.2023.3342319
Wu QXie NShao Y(2021)Day surgery appointment scheduling with patient preferences and stochastic operation durationTechnology and Health Care10.3233/THC-19208629:4(697-708)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/THC-192086
Guo CBodur MAleman DUrbach D(2021)Logic-Based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room SchedulingINFORMS Journal on Computing10.1287/ijoc.2020.103633:4(1551-1569)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1287/ijoc.2020.1036
Kıbış EBüyüktahtakın İHaight RAkhundov NKnight KFlower C(2021)A Multistage Stochastic Programming Approach to the Optimal Surveillance and Control of the Emerald Ash Borer in CitiesINFORMS Journal on Computing10.1287/ijoc.2020.096333:2(808-834)Online publication date: 1-May-2021
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Chen XHuang LLiu WShih PBao J(2021)Automatic Surgery Duration Prediction Using Artificial Neural NetworksProceedings of the 5th International Conference on Computer Science and Application Engineering10.1145/3487075.3487128(1-6)Online publication date: 19-Oct-2021
https://dl.acm.org/doi/10.1145/3487075.3487128
Fügener ABrunner J(2019)Planning for OvertimeINFORMS Journal on Computing10.1287/ijoc.2018.086531:4(732-744)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1287/ijoc.2018.0865
Noorizadegan MSeifi A(2018)An efficient computational method for large scale surgery scheduling problems with chance constraintsComputational Optimization and Applications10.1007/s10589-017-9947-069:2(535-561)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s10589-017-9947-0

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