Simulation optimization in healthcare resource planning: A literature review
L Wang, E Demeulemeester - Iise Transactions, 2023 - Taylor & Francis
In healthcare, the planning and the management of resources are challenging as there are
always many complex and stochastic factors in both demand and supply. Simulation …
always many complex and stochastic factors in both demand and supply. Simulation …
Inpatient overflow: An approximate dynamic programming approach
Problem definition: Inpatient beds are usually grouped into several wards, and each ward is
assigned to serve patients from certain “primary” specialties. However, when a patient waits …
assigned to serve patients from certain “primary” specialties. However, when a patient waits …
AI-enhanced robust method for integrated healthcare resource pre-positioning and patient scheduling
Y Liu, J Zhang, FTS Chan - International Journal of Production …, 2025 - Taylor & Francis
This paper aims to optimise healthcare resource pre-positioning, patient scheduling, and
patient transferring under uncertain demands and stochastic resource consumption. We …
patient transferring under uncertain demands and stochastic resource consumption. We …
A survey on skill-based routing with applications to service operations management
Abstract Service systems often feature multiple classes of customers with different service
needs and multiple pools of servers with different skillsets. How to efficiently match …
needs and multiple pools of servers with different skillsets. How to efficiently match …
Scheduling an overloaded multiclass many-server queue with impatient customers
AL Puha, AR Ward - … research & management science in the …, 2019 - pubsonline.informs.org
We describe a fluid model with time-varying input that approximates a multiclass many-
server queue with impatient customers and time-varying arrivals (specifically, the multiclass …
server queue with impatient customers and time-varying arrivals (specifically, the multiclass …
Crowdq: Predicting the queue state of hospital emergency department using crowdsensing mobility data-driven models
Hospital Emergency Departments (EDs) are essential for providing emergency medical
services, yet often overwhelmed due to increasing healthcare demand. Current methods for …
services, yet often overwhelmed due to increasing healthcare demand. Current methods for …
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 …
Hospital-wide inpatient flow optimization
D Bertsimas, J Pauphilet - Management Science, 2024 - pubsonline.informs.org
An ideal that supports quality and delivery of care is to have hospital operations that are
coordinated and optimized across all services in real time. As a step toward this goal, we …
coordinated and optimized across all services in real time. As a step toward this goal, we …
Recent modeling and analytical advances in hospital inpatient flow management
Inpatient flow management plays a critical role in care delivery, patient outcomes, and
hospital operational and financial costs. Modeling and performance analysis of inpatient …
hospital operational and financial costs. Modeling and performance analysis of inpatient …
The spillover effects of capacity pooling in hospitals
Off-service placement is a common capacity-pooling strategy that hospitals utilize to address
mismatches in supply and demand that arise from the day-to-day variation in patient …
mismatches in supply and demand that arise from the day-to-day variation in patient …