An interdisciplinary review of AI and HRM: Challenges and future directions
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 …
management (HRM). Scholars from different disciplines have contributed to the field of AI in …
Distributionally robust optimization: A review
The concepts of risk-aversion, chance-constrained optimization, and robust optimization
have developed significantly over the last decade. Statistical learning community has also …
have developed significantly over the last decade. Statistical learning community has also …
Frameworks and results in distributionally robust optimization
The concepts of risk aversion, chance-constrained optimization, and robust optimization
have developed significantly over the last decade. The statistical learning community has …
have developed significantly over the last decade. The statistical learning community has …
Operating room planning and surgical case scheduling: a review of literature
This paper provides a comprehensive survey of research on operating room planning and
scheduling problems. Aiming to give a comprehensive classification on the studied …
scheduling problems. Aiming to give a comprehensive classification on the studied …
OM forum—Healthcare operations management: A snapshot of emerging research
A new generation of healthcare operations management (HOM) scholars is studying timely
healthcare topics (eg, organization design, design of delivery, and organ transplantation) …
healthcare topics (eg, organization design, design of delivery, and organ transplantation) …
Zonal-based flexible bus service under elastic stochastic demand
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 …
passengers sharing the vehicle, which reduces congestion on the urban network. The …
Data-driven sample average approximation with covariate information
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 …
uncertain parameters within an optimization model together with concurrent observations of …
A resilient battery electric bus transit system configuration
Electric mobility is fundamental to combat climate change and attaining the United Nations
Sustainable Development Goals (SDG-11). However, electric mobility necessitates a …
Sustainable Development Goals (SDG-11). However, electric mobility necessitates a …
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 …
high-rise building construction, facing challenges due to environmental uncertainties. This …
Home healthcare integrated staffing and scheduling
Workforce planning for home healthcare represents an important and challenging task
involving complex factors associated with labor regulations, caregivers' preferences, and …
involving complex factors associated with labor regulations, caregivers' preferences, and …