An interdisciplinary review of AI and HRM: Challenges and future directions

Y Pan, FJ Froese - Human resource management review, 2023 - Elsevier
Artificial intelligence (AI) has the potential to change the future of human resource
management (HRM). Scholars from different disciplines have contributed to the field of AI in …

Frameworks and results in distributionally robust optimization

H Rahimian, S Mehrotra - Open Journal of Mathematical Optimization, 2022 - numdam.org
The concepts of risk aversion, chance-constrained optimization, and robust optimization
have developed significantly over the last decade. The statistical learning community has …

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 …

OM forum—Healthcare operations management: A snapshot of emerging research

T Dai, S Tayur - Manufacturing & service operations …, 2020 - pubsonline.informs.org
A new generation of healthcare operations management (HOM) scholars is studying timely
healthcare topics (eg, organization design, design of delivery, and organ transplantation) …

Ensemble deep learning enabled multi-condition generative design of aerial building machine considering uncertainties

J Wang, K Chen, H Yang, L Zhang - Automation in Construction, 2024 - Elsevier
Abstract The Aerial Building Machine (ABM) is a complex construction equipment used in
high-rise building construction, facing challenges due to environmental uncertainties. This …

A resilient battery electric bus transit system configuration

A Foda, M Mohamed, H Farag, E El-Saadany - Nature Communications, 2023 - nature.com
Electric mobility is fundamental to combat climate change and attaining the United Nations
Sustainable Development Goals (SDG-11). However, electric mobility necessitates a …

Data-driven sample average approximation with covariate information

R Kannan, G Bayraksan, JR Luedtke - Operations Research, 2025 - pubsonline.informs.org
We study optimization for data-driven decision making when we have observations of the
uncertain parameters within an optimization model together with concurrent observations of …

Home healthcare integrated staffing and scheduling

MI Restrepo, LM Rousseau, J Vallée - Omega, 2020 - Elsevier
Workforce planning for home healthcare represents an important and challenging task
involving complex factors associated with labor regulations, caregivers' preferences, and …

Zonal-based flexible bus service under elastic stochastic demand

E Lee, X Cen, HK Lo - Transportation Research Part E: Logistics and …, 2021 - Elsevier
This study investigates flexible bus that provides door-to-door service with multiple
passengers sharing the vehicle, which reduces congestion on the urban network. The …

When should shelf stocking be done at night? A workforce management optimization approach for retailers

R Muñoz, JC Muñoz, JC Ferrer, VI González… - Computers & Industrial …, 2024 - Elsevier
This research examines the economic viability of night shelf stocking in the retail industry. By
analyzing real data on the costs and benefits of both night and day stocking, we propose a …