Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations
Disasters are usually managed through a four-phase cycle including mitigation,
preparedness, response and recovery. The first two phases happen before a disaster and …
preparedness, response and recovery. The first two phases happen before a disaster and …
A robust optimization approach for the multi-mode resource-constrained project scheduling problem
This paper suggests a robust optimization approach for the multi-mode resource-
constrained project scheduling problem with uncertain activity durations. The objective is to …
constrained project scheduling problem with uncertain activity durations. The objective is to …
Erlang-R: A time-varying queue with reentrant customers, in support of healthcare staffing
GB Yom-Tov, A Mandelbaum - Manufacturing & Service …, 2014 - pubsonline.informs.org
We analyze a queueing model that we call Erlang-R, where the “R” stands for reentrant
customers. Erlang-R accommodates customers who return to service several times during …
customers. Erlang-R accommodates customers who return to service several times during …
Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response
Disaster response operations typically involve multiple decision-makers, and each decision-
maker needs to make its decisions given only incomplete information on the current …
maker needs to make its decisions given only incomplete information on the current …
Delay prediction for managing multiclass service systems: An investigation of queueing theory and machine learning approaches
Customer waiting time prediction is key to managing service systems. Predicting how long a
customer will wait for service at the time of their arrival can provide important information to …
customer will wait for service at the time of their arrival can provide important information to …
Bed blocking in hospitals due to scarce capacity in geriatric institutions—cost minimization via fluid models
N Zychlinski, A Mandelbaum… - … & Service Operations …, 2020 - pubsonline.informs.org
Problem definition: This research focuses on elderly patients who have been hospitalized
and are ready to be discharged, but they must remain in the hospital until a bed in a geriatric …
and are ready to be discharged, but they must remain in the hospital until a bed in a geriatric …
Applications of fluid models in service operations management
N Zychlinski - Queueing Systems, 2023 - Springer
The service sector is an indisputable and fundamental pillar of today's business world,
encompassing nearly 80 percent of the workforce in the USA. Service operations …
encompassing nearly 80 percent of the workforce in the USA. Service operations …
Integrated post-disaster medical assistance team scheduling and relief supply distribution
Purpose The purpose of this paper is to solve a post-disaster humanitarian logistics problem
in which medical assistance teams are dispatched and the relief supplies are distributed …
in which medical assistance teams are dispatched and the relief supplies are distributed …
Use of an agent-based simulation model to evaluate a mobile-based system for supporting emergency evacuation decision making
Recently, mass casualty incidents (MCIs) have been occurring frequently and have gained
international attention. There is an urgent need for scientifically proven and effective …
international attention. There is an urgent need for scientifically proven and effective …
Surge capacity deployment in hospitals: effectiveness of response and mitigation strategies
Problem definition: Major hospitals frequently lack adequate space to accommodate
emergency patients. Managers can take actions to create surge capacity, an immediate …
emergency patients. Managers can take actions to create surge capacity, an immediate …