英文摘要 |
A good medical goods transit scheduling plan helps the medical systemsolve unexpected situations efficiently when an urgent epidemic breaks out.Currently medical goods are usually scheduled by the united decision center ofTaiwan medical systems. However, the schedules are manually determined bystaff with experience, without optimization from a systemic perspective. Inparticular, in an urgent epidemic situation, the demand would increasedrastically and thereby the original plan could not be effectively applied.Therefore, in this research, based on a medical system’s perspective, given theestimated demand for every time slot in all hospitals and their departments, weconsider the stock capacity for all hospitals and their departments as well astransshipment and other related constraints, and then employ the time-spacenetwork technique to construct a medical goods transit scheduling model,coupled with a dynamic decision framework, to help the medical systemsefficiently schedule their medical goods transshipments. Finally, to provide apreliminary evaluation of the model in practice; we perform a case study basedon a domestic large-scale medical system’s operating data. The test resultsindicate that the proposed model and the dynamic decision framework can notonly allocate the resources efficiently, but can also yield better solutions than themanual method in practice, showing that the model and the dynamic decisionframework could be useful reference materials for medical systems to effectivelyplan their medical goods transit schedules and further to develop more robustmodels. |