Abstract

At present, there are problems such as low level of drug inventory management in major hospitals, which directly lead to the stagnation of the drug supply chain and the high cost of hospital management. In order to improve the efficiency of hospital drug inventory management, based on genetic algorithm and BP neural network, this study combined the actual situation of hospital drug inventory forecast to build a system model based on hospital drug management mode. At the same time, in order to verify the validity of the model, this paper collected experimental data through data collection, inputted data for model simulation analysis, and established a three-layer network simulation model. In addition, this paper analyzed the accuracy and sensitivity of model prediction based on actual conditions and compared the research results with actual data. Studies have shown that the model proposed in this study has certain effects and can be applied to hospital drug inventory management practices.

中文翻译：

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遗传算法与BP神经网络相结合的医院药品库存管理系统

摘要

当前，主要医院药品库存管理水平低下，直接导致药品供应链停滞，医院管理成本高。为了提高医院药品库存管理效率，基于遗传算法和BP神经网络，结合医院药品库存预测的实际情况，建立了基于医院药品管理模式的系统模型。同时，为了验证模型的有效性，本文通过数据收集收集实验数据，输入数据进行模型仿真分析，建立了三层网络仿真模型。此外，本文还根据实际情况分析了模型预测的准确性和敏感性，并将研究结果与实际数据进行了比较。