Two-stage robust optimization approach to elective surgery and downstream capacity planning
From MaRDI portal
Publication:1753397
DOI10.1016/j.ejor.2016.11.043zbMath1402.90059OpenAlexW2559060079WikidataQ59193445 ScholiaQ59193445MaRDI QIDQ1753397
Bjorn P. Berg, Saba Neyshabouri
Publication date: 29 May 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2016.11.043
robust optimizationdownstream resource constraintOR in health servicessurgery schedulingdecision-dependent uncertainty
Applications of mathematical programming (90C90) Deterministic scheduling theory in operations research (90B35)
Related Items
Current trends in operating room scheduling 2015 to 2020: a literature review ⋮ Surgical scheduling by fuzzy model considering inpatient beds shortage under uncertain surgery durations ⋮ Solving the planning and scheduling problem simultaneously in a hospital with a bi-layer discrete particle swarm optimization ⋮ An approximate dynamic programming approach to the admission control of elective patients ⋮ A value function-based approach for robust surgery planning ⋮ Stochastic optimization approaches for elective surgery scheduling with downstream capacity constraints: models, challenges, and opportunities ⋮ Designing master surgery schedules with downstream unit integration via stochastic programming ⋮ Minimizing bed occupancy variance by scheduling patients under uncertainty ⋮ Data-driven distributionally robust surgery planning in flexible operating rooms over a Wasserstein ambiguity ⋮ Adopting a hierarchical diagnosis and treatment system to optimize elective surgery scheduling ⋮ The effect of few historical data on the performance of sample average approximation method for operating room scheduling ⋮ Patient admission scheduling problems with uncertain length of stay: optimization models and an efficient matheuristic approach ⋮ Mitigating the COVID‐19 pandemic through data‐driven resource sharing ⋮ An inexact column-and-constraint generation method to solve two-stage robust optimization problems ⋮ Stochastic weekly operating room planning with an exponential number of scenarios ⋮ The efficacy of utility functions for multicriteria hospital case‐mix planning ⋮ Robust optimization approximation for ambiguous P-model and its application ⋮ An adaptive robust framework for the optimization of the resilience of interdependent infrastructures under natural hazards ⋮ A two-level optimization model for elective surgery scheduling with downstream capacity constraints ⋮ Operating room surgery scheduling with fuzzy surgery durations using a metaheuristic approach ⋮ A survey of decision making and optimization under uncertainty ⋮ An exact approach for tactical planning and patient selection for elective surgeries ⋮ A distributionally robust optimization approach for stochastic elective surgery scheduling with limited intensive care unit capacity ⋮ Solving integrated operating room planning and scheduling: logic-based Benders decomposition versus branch-price-and-cut ⋮ A Markov decision model with dead ends for operating room planning considering dynamic patient priority ⋮ A robust stochastic casualty collection points location problem ⋮ Combining workload balance and patient priority maximisation in operating room planning through hierarchical multi-objective optimisation ⋮ Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios
Cites Work
- Master surgery scheduling with consideration of multiple downstream units
- Robust location transportation problems under uncertain demands
- Scheduling elective surgery under uncertainty and downstream capacity constraints
- Operating room planning and scheduling: a literature review
- Adjustable robust solutions of uncertain linear programs
- Recent advances in robust optimization: an overview
- Solving two-stage robust optimization problems using a column-and-constraint generation method
- A master surgical scheduling approach for cyclic scheduling in operating room departments
- Robust Convex Optimization
- The Air Traffic Flow Management Problem with Enroute Capacities
- A Progressive Hedging Approach for Surgery Planning Under Uncertainty
- Design and Optimization Methods for Elective Hospital Admissions
- Introduction to Stochastic Programming
- Optimal Allocation of Surgery Blocks to Operating Rooms Under Uncertainty
- Theory and Applications of Robust Optimization
- The Cutting-Plane Method for Solving Convex Programs
- Two-Stage Robust Network Flow and Design Under Demand Uncertainty
- The Price of Robustness
- Bilinear programming: An exact algorithm
- Robust Solutions to Uncertain Semidefinite Programs
- Scheduling patients in an ambulatory surgical center
- Finite Adaptability in Multistage Linear Optimization
- L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming
