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基于人工智能机器人的医疗物资配送管理系统优化。

Optimization on Medical Material Distribution Management System Based on Artificial Intelligence Robot.

机构信息

Department of Nursing, General Hospital of Taiyuan Iron & Steel Co.,Ltd., Taiyuan 030008, China.

Department of Gynaecology and Obstetrics, General Hospital of Taiyuan Iron & Steel Co.,Ltd., Taiyuan 030003, China.

出版信息

J Healthc Eng. 2021 Mar 19;2021:5511299. doi: 10.1155/2021/5511299. eCollection 2021.

DOI:10.1155/2021/5511299
PMID:33828823
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8004369/
Abstract

The traditional medical material distribution management system method lacks systematic analysis and relies heavily on the subjective judgment of related operators, and it is easy to cause excessive or too little inventory, which leads to waste of operating costs. This study builds on a dedicated system for artificial intelligence robot logistics and aims to minimize the total cost of medical material ordering and distribution operations. In addition, in view of the constraints in the actual operation of the hospital, this study uses the concept of the spatiotemporal network to construct an ordering and distribution scheduling planning model of single material certainty, single material stochastic, and multiple material stochastic to help the hospital make optimal decisions and ensure the hospital's continuous and stable operation. In addition, after building the system, this study designs experiments to analyze the performance of this study system. The research shows that the model constructed in this paper has a certain effect and can provide a reference for the follow-up medical material distribution management system.

摘要

传统的医疗物资配送管理系统方法缺乏系统分析，严重依赖相关操作人员的主观判断，容易导致库存过多或过少，从而造成运营成本的浪费。本研究基于人工智能机器人物流专用系统，旨在最小化医疗物资订购和配送作业的总成本。此外，针对医院实际运营中的约束条件，本研究采用时空网络的概念，构建单物资确定性、单物资随机性和多物资随机性的订购和配送调度规划模型，帮助医院做出最优决策，确保医院的持续稳定运行。此外，在构建系统后，本研究通过设计实验对本研究系统的性能进行了分析。研究表明，本文构建的模型具有一定的效果，可以为后续的医疗物资配送管理系统提供参考。

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