A hybrid genetic algorithm-queuing multi-compartment model for optimizing inpatient bed occupancy and associated costs
作者：
Highlights：
• An evolutionary-based approach for optimizing a queuing model is proposed.
• Data from St. George's Hospital, London, were used for assessment.
• An extended “What-if analysis” was proposed to explore management opportunities.
• Comparison with traditional approaches showed the effectiveness of the model.
• The model is expected to easily adapt to different medical departments.
摘要
•An evolutionary-based approach for optimizing a queuing model is proposed.•Data from St. George's Hospital, London, were used for assessment.•An extended “What-if analysis” was proposed to explore management opportunities.•Comparison with traditional approaches showed the effectiveness of the model.•The model is expected to easily adapt to different medical departments.
论文关键词：Queuing model,Genetic algorithm,Bed occupancy,Compartmental model,Cost model
论文评审过程：Received 31 July 2015, Revised 11 March 2016, Accepted 15 March 2016, Available online 23 March 2016, Version of Record 13 April 2016.
论文官网地址：https://doi.org/10.1016/j.artmed.2016.03.001
