Multi-objective optimization for a hospital inpatient flow process via Discrete Event Simulation

This paper describes a Discrete Event Simulation (DES) model for a hypothetical inpatient flow process of a large acute-care hospital. The implementation of the Multi-Objectives Convergent Optimization via Most-Promising-Area Stochastic Search (MO-COMPASS) approach in this DES model for the identification of promising Pareto optimal solutions is also discussed. The MO-COMPASS algorithm implemented within the DES modelling paradigm demonstrates how the Multi-Objective Discrete Optimization via Simulation (MDOvS) framework can be applied to identify process improvement opportunities for a hypothetical inpatient boarding processes of a large acute care hospital.