Optimisation Model of SPD Supply Chain for Medical Consumables under DRG Background Based on Mixed Integer Programming

In the context of diagnosis related groups (DRG) payment systems, hospitals are facing dual pressures of controlling medical costs and improving service quality. The supply, processing and distribution (SPD) process of medical consumables is an important component of hospital operations, and optimising this supply chain can help achieve cost savings and efficiency improvements. This article proposed a medical consumables SPD supply chain optimisation model based on mixed integer programming (MIP), aiming to optimise the procurement, inventory and transportation strategies of medical consumables through scientific decision-making methods. The model construction comprehensively considered the cost control requirements and various constraints under the DRG system, including demand fulfilment, inventory capacity, supplier supply capacity and logistics transportation capacity. By using the solver CPLEX to solve the model, the results showed that the optimised supply chain strategy could significantly reduce total costs while improving supply chain service levels, with a demand fulfilment rate of up to 97%. The research in this article provides an effective optimisation tool for hospitals’ medical consumables supply chain management under the DRG payment system, with significant theoretical significance and practical application value.