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A Multi-Method Scheduling Framework For Medical Staff, Wael Rashwan, John Fowler, Amr Arisha
A Multi-Method Scheduling Framework For Medical Staff, Wael Rashwan, John Fowler, Amr Arisha
Conference Papers
Hospital planning teams are always concerned with optimizing staffing and scheduling decisions in order to improve hospital performance, patient experience, and staff satisfaction. A multi-method approach including data analytics, modeling and simulation, machine learning, and optimization is proposed to provide a framework for smart and applicable solutions for staffing and shift scheduling. Factors regarding patients, staff, and hospitals are considered in the decision. This framework is piloted using the Emergency Department(ED) of a leading university hospital in Dublin. The optimized base staffing patterns and shift schedules actively contributed to solving ED overcrowding problem and reduced the average waiting time for …
Mathematical Modelling Of A Low Approach Evaporative Cooling Process For Space Cooling In Buildings, Medhi Nasrabadi, Donal Finn, Ben Costelloe
Mathematical Modelling Of A Low Approach Evaporative Cooling Process For Space Cooling In Buildings, Medhi Nasrabadi, Donal Finn, Ben Costelloe
Conference Papers
This paper describes a mathematical model of a low approach open evaporative cooling tower for the production of high temperature indirect cooling water (14-16°C) for use in building radiant cooling and displacement ventilation systems. There are several potential approaches to model evaporative cooling, including: the Poppe method, the Merkel method and the effectiveness-NTU (ε-NTU) method. A common assumption, applied to the Merkel and ε-NTU methods, is that the effect of change in tower water mass flow rate due to evaporation is ignored, which results in a simpler model with reduced computational requirements, but with somewhat decreasedaccuracy. In this paper, a …