Dynamic optimization model for allocating medical resources in epidemic controlling
Abstract: The model proposed
in this paper addresses a dynamic optimization model for allocating medical
resources in epidemic controlling.
Design/methodology/approach: In this work, a three-level and dynamic
linear programming model for allocating medical resources based on epidemic
diffusion model is proposed. The epidemic diffusion model is used to construct
the forecasting mechanism for dynamic demand of medical resources. Heuristic
algorithm coupled with MTLAB mathematical programming solver is adopted to
solve the model. A numerical example is presented for testing the model’s
practical applicability.
Findings: The main contribution of the present study is that a discrete
time-space network model to study the medical resources allocation problem when
an epidemic outbreak is formulated. It takes consideration of the time
evolution and dynamic nature of the demand, which is different from most
existing researches on medical resources allocation.
Practical implications: In our model, the medicine logistics operation
problem has been decomposed into several mutually correlated sub-problems, and
then be solved systematically in the same decision scheme. Thus, the result
will be much more suitable for real operations.
Originality/value: In our model, the rationale that the medical resources
allocated in early periods will take effect in subduing the spread of the
epidemic spread and thus impact the demand in later periods has been for the
first time incorporated. A win-win emergency rescue effect is achieved by the
integrated and dynamic optimization model. The total rescue cost is controlled
effectively, and meanwhile, inventory level in each urban health departments is
restored and raised gradually.
Author: Ming Liu, Jiang Liang
Journal Code: jptindustrigg130056
