Stochastic programming analysis and solutions to schedule overcrowded operating rooms in China

DOI10.1016/j.cor.2016.04.017zbMath1349.90449OpenAlexW2336411022MaRDI QIDQ342461

Willem van Jaarsveld, Guanlian Xiao, Ming Dong, Joris van de Klundert

Publication date: 17 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2016.04.017

zbMATH Keywords

sample average approximation3-stage stochastic programmingChina's hospital~reformoperating room scheduling

Mathematics Subject Classification ID

Stochastic programming (90C15) Stochastic scheduling theory in operations research (90B36) Case-oriented studies in operations research (90B90)

Related Items

Current trends in operating room scheduling 2015 to 2020: a literature review ⋮ A two-step stochastic approach for operating rooms scheduling in multi-resource environment ⋮ Support optimal scheduling with weighted random forest for operation resources ⋮ An approximate dynamic programming approach to the admission control of elective patients ⋮ A value function-based approach for robust surgery planning ⋮ A hybrid heuristic approach to master surgery scheduling with downstream resource constraints and dividable operating room blocks ⋮ A two-level optimization model for elective surgery scheduling with downstream capacity constraints ⋮ A Markov decision model with dead ends for operating room planning considering dynamic patient priority

Cites Work

• Optimal booking and scheduling in outpatient procedure centers
• The integer \(L\)-shaped method for stochastic integer programs with complete recourse
• L-shaped decomposition of two-stage stochastic programs with integer recourse
• Monte Carlo bounding techniques for determinig solution quality in stochastic programs
• The theory and practice of revenue management
• Parallel decomposition of large-scale stochastic nonlinear programs
• Decomposition algorithms with parametric Gomory cuts for two-stage stochastic integer programs
• A stochastic approach to hotel revenue optimization
• Airline Yield Management with Overbooking, Cancellations, and No-Shows
• The Sample Average Approximation Method for Stochastic Discrete Optimization
• Operating Room Pooling and Parallel Surgery Processing Under Uncertainty
• Appointment Scheduling Under Patient Preference and No-Show Behavior
• Introduction to Stochastic Programming
• Overbooking with Substitutable Inventory Classes
• Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs
• L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming