Operating room planning and surgical case scheduling: a review of literature

S Zhu, W Fan, S Yang, J Pei, PM Pardalos - Journal of Combinatorial …, 2019 - Springer
This paper provides a comprehensive survey of research on operating room planning and
scheduling problems. Aiming to give a comprehensive classification on the studied …

A comprehensive review and analysis of operating room and surgery scheduling

I Rahimi, AH Gandomi - Archives of Computational Methods in …, 2021 - Springer
A comprehensive review and analysis of operating room (OR) theatre scheduling problems
as well as a comparison of solution approaches along with suggestions for future studies are …

Medical resource allocation planning by integrating machine learning and optimization models

T Mizan, S Taghipour - Artificial Intelligence in Medicine, 2022 - Elsevier
Patients' waiting time is a major issue in the Canadian healthcare system. The planning for
resource allocation impacts patients' waiting time in medicare settings. This research …

Stochastic optimization approaches for elective surgery scheduling with downstream capacity constraints: Models, challenges, and opportunities

KS Shehadeh, R Padman - Computers & Operations Research, 2022 - Elsevier
Elective surgery patients have surgery in the operating room (OR), and then recover in one
or more downstream recovery units for several consecutive hours or days after surgery …

A stochastic programming approach to perform hospital capacity assessments

RL Burdett, P Corry, B Spratt, D Cook, P Yarlagadda - Plos one, 2023 - journals.plos.org
This article introduces a bespoke risk averse stochastic programming approach for
performing a strategic level assessment of hospital capacity (QAHC). We include stochastic …

A two-level optimization model for elective surgery scheduling with downstream capacity constraints

J Zhang, M Dridi, A El Moudni - European Journal of Operational Research, 2019 - Elsevier
This paper addresses an elective surgery scheduling problem involving capacity constraints
for operating rooms and downstream surgical intensive care units (SICU). Considering the …

[HTML][HTML] A long-term forecasting and simulation model for strategic planning of hospital bed capacity

T Latruwe, M Van der Wee, P Vanleenhove… - Operations Research for …, 2023 - Elsevier
Growing healthcare needs leverage the potential savings of using resources efficiently. To
that end, ProMoBed is a comprehensive model that supports strategic planning of bed …

Column-generation-based heuristic approaches to stochastic surgery scheduling with downstream capacity constraints

J Zhang, M Dridi, A El Moudni - International Journal of Production …, 2020 - Elsevier
This paper addresses an advance surgery scheduling problem in an operating theater
composed of multiple operating rooms (ORs) and a downstream surgical intensive care unit …

How does the hospital make a safe and stable elective surgery plan during COVID-19 pandemic?

Z Dai, JJ Wang, JJ Shi - Computers & Industrial Engineering, 2022 - Elsevier
During the COVID-19 period, randomly arrived patients flooded into the hospital, which
caused staffing beds to be occupied. Then, elective surgeries could not be carried out timely …

Surgical scheduling under uncertainty by approximate dynamic programming

TAO Silva, MC de Souza - Omega, 2020 - Elsevier
Surgical scheduling consists of selecting surgeries to be performed within a day, while
jointly assigning operating rooms, starting times and the required resources. Patients can be …