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Nursing homes (NHs) are critical healthcare infrastructures for caring frail older adults with 24/7 formal care and personal assistance. Adequate NH resource planning is of great importance to ensure desired quality of care and resident…

Systems and Control · Electrical Eng. & Systems 2021-02-04 Xuxue Sun , Nazmus Sakib , Nan Kong , Hongdao Meng , Kathryn Hyer , Chris Masterson , Mingyang Li

Over the past decade, there has been a severe staffing shortage in mental healthcare, exacerbated by increased demand for mental health services due to COVID-19. This demand is projected to increase over the next decade or so, necessitating…

Applications · Statistics 2025-03-10 Harsha Chamara Hewage , Bahman Rostami-Tabar

Critical infrastructures face demanding challenges due to natural and human-generated threats, such as pandemics, workforce shortages or cyber-attacks, which might severely compromise service quality. To improve system resilience,…

Multiagent Systems · Computer Science 2025-02-11 David Carramiñana , Ana M. Bernardos , Juan A. Besada , José R. Casar

In the event of a disaster, saving human lives is of utmost importance. For developing proper evacuation procedures and guidance systems, behavioural data on how people respond during panic and stress is crucial. In the absence of real…

Multiagent Systems · Computer Science 2019-10-03 Rohit K. Dubey , Samuel S. Sohn , Christoph Hoelscher , Mubbasir Kapadia

We study the nurse staffing problem under random nurse demand and absenteeism. While the demand uncertainty is exogenous (stemming from the random patient census), the absenteeism uncertainty is \emph{endogenous}, i.e., the number of nurses…

Optimization and Control · Mathematics 2022-08-11 Minseok Ryu , Ruiwei Jiang

Performance evaluation of nursing homes is usually accomplished by the repeated administration of questionnaires aimed at measuring the health status of the patients during their period of residence in the nursing home. We illustrate how a…

Applications · Statistics 2009-08-18 Francesco Bartolucci , Monia Lupparelli , Giorgio E. Montanari

Nurse staffing and scheduling are persistent challenges in healthcare due to demand fluctuations and individual nurse preferences. This study introduces the concept of bounded flexibility, balancing nurse satisfaction with strict rostering…

Optimization and Control · Mathematics 2025-06-02 Si Zhang , Paul Mingzheng Tang , Hoong Chuin Lau

We propose stochastic optimization methodologies for a staffing and capacity planning problem arising from home care practice. Specifically, we consider the perspective of a home care agency that must decide the number of caregivers to hire…

Optimization and Control · Mathematics 2022-03-29 Ridong Wang , Karmel S. Shehadeh , Xiaolei Xie , Lefei Li

Many economies are challenged by the effects of an ageing population, particularly in sectors where resource capacity planning is critical, such as healthcare. This research addresses the operational challenges of bed and staffing capacity…

Machine Learning · Computer Science 2025-04-25 Elizabeth Williams , Daniel Gartner , Paul Harper

The City of Toronto Long Term Care Homes & Services (LTCH&S) division is one of the largest providers of long-term care in the Canadian province of Ontario, providing care to 2,640 residents at 10 homes across Toronto. Our collaboration…

Computers and Society · Computer Science 2021-02-19 Manion Anderson , Merve Bodur , Scott Rathwell , Vahid Sarhangian

Patient length of stay (LoS) is a critical metric for evaluating the efficacy of hospital management. The primary objectives encompass to improve efficiency and reduce costs while enhancing patient outcomes and hospital capacity within the…

Machine Learning · Computer Science 2025-01-31 Tasfia Noor Chowdhury , Sanjida Afrin Mou , Kazi Naimur Rahman

Disruptions to personnel rosters caused by absenteeism often necessitate last-minute adjustments to the employees' working hours. A common strategy to mitigate the impact of such changes is to assign employees to reserve shifts: special…

Machine Learning · Computer Science 2024-06-27 Martina Doneda , Pieter Smet , Giuliana Carello , Ettore Lanzarone , Greet Vanden Berghe

Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. This paper presents a new component-based approach with adaptive perturbations, for a nurse scheduling problem arising at a…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Jingpeng Li , Uwe Aickelin , Edmund Burke

Background/Objectives: Efficient task allocation in hospital emergency departments (EDs) is critical for operational efficiency and patient care quality, yet the complexity of staff coordination poses significant challenges. This study…

Human-Computer Interaction · Computer Science 2025-10-21 Zoi Lygizou , Dimitris Kalles

Simulation models are valuable tools for resource usage estimation and capacity planning. In many situations, reliable data is not available. We introduce the BuB simulator, which requires only the specification of plausible intervals for…

Applications · Statistics 2020-09-08 Thomas Bartz-Beielstein , Eva Bartz , Frederik Rehbach , Olaf Mersmann

Long-term care service for old people is in great demand in most of the aging societies. The number of nursing homes residents is increasing while the number of care providers is limited. Due to the care worker shortage, care to vulnerable…

Machine Learning · Statistics 2023-03-14 Gi-Soo Kim , Young Suh Hong , Tae Hoon Lee , Myunghee Cho Paik , Hongsoo Kim

Recent pandemics have highlighted vulnerabilities in our global economic systems, especially supply chains. Possible future pandemic raises a dilemma for businesses owners between short-term profitability and long-term supply chain…

Multiagent Systems · Computer Science 2024-06-18 Teddy Lazebnik

Energy systems resilience is becoming increasingly important as the frequency of major grid outages increases. In this work, we present a methodology to optimize a behind-the-meter distributed energy resource system to sustain a site's…

Systems and Control · Electrical Eng. & Systems 2021-06-29 Sakshi Mishra , Kate Anderson

Purpose - Inefficient hiring may result in lower productivity and higher training costs. Productivity losses caused by absenteeism at work cost U.S. employers billions of dollars each year. Also, employers typically spend a considerable…

Machine Learning · Computer Science 2022-02-09 Gopal Nath , Antoine Harfouche , Austin Coursey , Krishna K. Saha , Srikanth Prabhu , Saptarshi Sengupta

The global home healthcare market is growing rapidly due to aging populations, advancements in healthcare technology, and patient preference for home-based care. In this paper, we study the multi-day planning problem of simultaneously…

Optimization and Control · Mathematics 2024-07-10 Carolin Bauerhenne , Jonathan Bard , Rainer Kolisch
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