Disruptions can cause demand fluctuation, thus overcrowding at hospital wards, and can make the waiting list of patients longer. Bed management at hospitals is one of the solutions to deal with overcrowding. In addition, Resilience Engineering (RE) is an approach that can help organizations to bounce back to their desired performance state after a disruption. In this paper, the concept of RE has been used to improve the bed management of hospitals during and after disruption. More precisely, bed sharing among hospital wards has been introduced as a collaboration strategy and its impact on the length of patients’ waiting list as the major performance index is investigated. Relationship priority between different wards, patients’ gender, patients’ length of stay and the number of rooms in every ward are the major factors considered in our modeling. A mixed integer linear programming optimization model with the objective of minimizing the patients’ waiting time in a hospital has been proposed for the real-world problems. The main contribution of the present paper is proposing a resiliency-based modeling of bed management in hospitals. Due to the complexity and making the proposed model applicable to the real world problems, a simulated annealing algorithm is used to solve the model and a new procedure for creating initial solution is presented. The results show that applying resilience strategy has a considerable impact on improving the hospital’s performance index.

中断会导致需求波动，从而使医院病房人满为患，并使患者的等候名单更长。医院的病床管理是解决人满为患的解决方案之一。此外，弹性工程（RE）是一种可以帮助组织在中断后恢复到所需性能状态的方法。在本文中，可再生能源的概念已被用于改善医院在中断期间和之后的病床管理。更准确地说，医院病房之间的病床共享已被引入作为一种协作策略，并研究了它对主要绩效指标对病人等待名单长度的影响。不同病房之间的关系优先级，患者的性别，患者的住院时间和每个病房的房间数是我们建模中考虑的主要因素。针对现实世界中的问题，提出了一种混合整数线性规划优化模型，其目的是使医院的患者等待时间最小化。本文的主要贡献是提出了一种基于弹性的医院病床管理模型。由于其复杂性并使所提出​​的模型适用于现实世界中的问题，因此采用模拟退火算法对该模型进行求解，并提出了一种创建初始解的新方法。结果表明，采用恢复策略对改善医院绩效指标具有相当大的影响。本文的主要贡献是提出了一种基于弹性的医院病床管理模型。由于其复杂性并使所提出​​的模型适用于现实世界中的问题，因此采用模拟退火算法对该模型进行求解，并提出了一种创建初始解的新方法。结果表明，采用恢复策略对改善医院绩效指标具有相当大的影响。本文的主要贡献是提出了一种基于弹性的医院病床管理模型。由于其复杂性并使所提出​​的模型适用于现实世界中的问题，因此采用模拟退火算法对该模型进行求解，并提出了一种创建初始解的新方法。结果表明，采用恢复策略对改善医院绩效指标具有相当大的影响。