The hospitality sector increasingly grapples with the tension between operational efficiency and personalized guest services. In response, this study develops and evaluates a novel platform for dynamic room cleaning and resource allocation, guided by open innovation principles and complexity...

Operating Rooms (ORs) are pivotal hospital resources, significantly impacting expenses and revenue. This paper introduces a stochastic bi-objective model for OR allocation and scheduling of elective surgeries, considering surgeons' preferences for specific ORs and preferred start times, as well...

This study investigates an NP-hard parallel machine scheduling problem, a critical challenge in manufacturing, healthcare, and logistics industries where efficient resource allocation is essential. The issue involves scheduling operations where each task requires an additional resource, with...

We identify the impacts of a student's timetable on their attendance, study time and academic achievement using administrative and survey data from a public UK university across a broad range of degree programmes using quasi-random assignment of students to their timetables. Timetable measures...

This study introduces an approach to improving the utilization of solar energy in facilities by integrating advanced machine learning (ML) techniques into solar power scheduling. Traditional methods, often constrained by static schedules, fail to adequately adapt to the inherently dynamic and...