Assigns nurses to patients and rooms while respecting complexity and capacity constraints. Prioritizes continuity of care. Generates optimal schedules using Google OR-Tools.
Abstract: Machine learning (ML) is reshaping customer service, tackling the growing complexity and volume of customer requests. This article investigates the effects of ML on perceived service quality ...
Abstract: This paper introduces an Auxiliary-Effect-aware Group Role Assignment (AEGRA) model aimed at enhancing overall task allocation efficiency in human-machine systems. Building on the ...
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