Simulation-based optimisation: analysis of the emergency department resources under COVID-19 conditions

Shahla Jahangiri, Milad Abolghasemian, Peiman Ghasemi, Adel Pourghader Chobar
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引用次数: 2

Abstract

The emergency department (ED) is the most important section in every hospital. The ED behaviour is adequately complex, because the ED has several uncertain parameters such as the waiting time of patients or arrival time of patients. To deal with ED complexities, this paper presents a simulation-based optimisation-based meta-model (S-BO-BM-M) to minimise total waiting time of the arriving patients in an emergency department under COVID-19 conditions. A full-factorial design used meta-modelling approach to identify scenarios of systems to estimate an integer nonlinear programming model for the patient waiting time minimisation under COVID-19 conditions. Findings showed that the S-BO-BM-M obtains the new key resources configuration. Simulation-based optimisation meta-modelling approach in this paper is an invaluable contribution to the ED and medical managers for the redesign and evaluates of current situation ED system to reduce waiting time of patients and improve resource distribution in the ED under COVID-19 conditions to improve efficiency.
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基于仿真的优化:COVID-19条件下急诊科资源分析
急诊科(ED)是每个医院最重要的部门。急诊科的行为相当复杂,因为急诊科有几个不确定的参数,如病人的等待时间或病人的到达时间。为了应对急诊科的复杂性,本文提出了一种基于仿真优化的元模型(S-BO-BM-M),以最大限度地减少COVID-19条件下急诊科的总等待时间。全因子设计使用元建模方法来识别系统场景,以估计COVID-19条件下患者等待时间最小化的整数非线性规划模型。结果表明,S-BO-BM-M获得了新的关键资源配置。本文基于仿真的优化元建模方法对于急诊科和医疗管理者重新设计和评估当前急诊科系统,减少患者等待时间,改善急诊科资源分配,提高效率具有宝贵的贡献。
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来源期刊
International Journal of Industrial and Systems Engineering
International Journal of Industrial and Systems Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
1.70
自引率
0.00%
发文量
61
期刊介绍: In today"s global economy, the most successful engineering managers rely on a combination of technical skills and business principles. Industrial and systems engineering (ISE) aims at imparting fundamental knowledge to develop the ability to address complex industrial issues, emphasising on how to design, run, control and optimise production systems. The field of industrial engineering embraces a broad spectrum of technical activities including the classical techniques of work methods, production and facilities planning, quality control and safety. It also embraces the fields of human factors, operations research, manufacturing systems, and organisation and management systems.
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