A sizing tool for allocation planning of hospital bed resources

This paper focuses on bed resources allocation in a hospital taking into account hospitalization demands, bed capacity, and Activity-Dependent Price (T2A) incomes. The data used in this research work combines the elective patient flow and the acute patient flow from emergency department. A mathematical model based on a dynamic dispatching approach is developed and experimented respectively with Lingo and Cplex. Our objective is to maximize the incomes based on T2A and to minimize the cost to use supplementary beds. As a result of this model, the bed allocation planning calculated from the best objective value is presented