[HTML][HTML] Distributionally robust optimization: A review on theory and applications

F Lin, X Fang, Z Gao - Numerical Algebra, Control and Optimization, 2022 - aimsciences.org
In this paper, we survey the primary research on the theory and applications of
distributionally robust optimization (DRO). We start with reviewing the modeling power and …

Appointment scheduling problem in complexity systems of the healthcare services: A comprehensive review

A Ala, F Chen - Journal of Healthcare Engineering, 2022 - Wiley Online Library
This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare
service while we propose appointment scheduling problems and various applications and …

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 distributionally robust optimization model for inventory-transportation integrated optimization problem of petroleum products under uncertainty

X Xu, Z Chen, Y Song, W Yi - Computers & Operations Research, 2024 - Elsevier
In the downstream supply chain of petroleum products, the logistics planning optimization is
a crucial issue that not only involves the inventory management of oil depots to stabilize …

A distributionally robust optimization approach for stochastic elective surgery scheduling with limited intensive care unit capacity

KS Shehadeh, R Padman - European Journal of Operational Research, 2021 - Elsevier
In this paper, we study the decision process of assigning elective surgery patients to
available surgical blocks in multiple operating rooms (OR) under random surgery durations …

Single machine scheduling with release dates: A distributionally robust approach

H Lu, Z Pei - European Journal of Operational Research, 2023 - Elsevier
In the present study, a single machine scheduling problem with job release dates is
considered, where the job processing time is depicted by an ambiguity set, with the mean …

Stochastic optimization models for a home service routing and appointment scheduling problem with random travel and service times

MY Tsang, KS Shehadeh - European Journal of Operational Research, 2023 - Elsevier
We address a routing and appointment scheduling problem with uncertain service and travel
times arising from home service practice. Specifically, given a set of customers within a …

Survey on Lagrangian relaxation for MILP: importance, challenges, historical review, recent advancements, and opportunities

MA Bragin - Annals of Operations Research, 2024 - Springer
Operations in areas of importance to society are frequently modeled as mixed-integer linear
programming (MILP) problems. While MILP problems suffer from combinatorial complexity …

Distributionally robust facility location with bimodal random demand

KS Shehadeh, E Sanci - Computers & Operations Research, 2021 - Elsevier
In this paper, we consider a decision-maker who wants to determine a subset of locations
from a given set of candidate sites to open facilities and accordingly assign customer …