Most efficient staffing levels to meet specific objectives

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Question

Optimization models aim to find the most efficient staffing levels to meet specific objectives, considering constraints and maximizing resource utilization (Anderson et al., 2016). Yousefi (2020) examines metamodel-based simulation optimization in an emergency department (ED) to allocate human resources in the best way to minimize door to doctor time subject to the problem constraints which are capacity and budget. After data collection, Yousefi (2020) implemented three machine-learning methods-adaptive neuro-fuzzy inference system (ANFIS), feedforward neural network (FNN), and recurrent neural network (RNN)-are employed to construct an ensemble metamodel using adaptive boosting. Subsequently, the outcomes derived from the metamodel are utilized within a discrete imperialist competitive algorithm (ICA) for the purpose of optimization.

Reference no: EM133662872

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