Abstract

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.

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