考虑感染风险的医疗废物物流回收网络优化  

Optimization of Medical Waste Logistics Recycling Network Considering Infection Risk

作　　者：张诗佳 刘峥[1,2] ZHANG Shijia;LIU Zheng(School of Management,Shanghai University of Engineering Science,Shanghai 201620,China;Antai College of Economics and Management,Shanghai Jiaotong University,Shanghai 200240,China)

机构地区：[1]上海工程技术大学管理学院,上海201620 [2]上海交通大学安泰经济与管理学院,上海200240

出　　处：《物流科技》2023年第3期78-82,共5页Logistics Sci-Tech

基　　金：公安部重点实验室项目“基于大数据挖掘的安全事件网络舆情预警分析技术研究”(C20609);上海市重点课程建设项目“物流系统规划与设计”。

摘　　要：新冠肺炎疫情背景下,医疗废物的积压不仅影响医院正常运作且容易加剧病毒感染风险,因此研究医疗废物的处置问题具有十分重要的现实意义。以经济成本和感染性风险最小化为决策目标,构建感染性医疗废物多目标处置网络决策模型,运用NSGA2算法对感染性医疗废物的分配和处理方案进行了优化。最后,以疫情期间某一市级区域内的医疗废物处置网络为例,运用MATLAB进行了仿真模拟。In the context of COVID-19 epidemic, the backlog of medical waste not only affects the normal operation of hospitals but also tends to aggravate the risk of viral infection.Therefore, it is of great practical significance to study the disposal of medical waste. Economic cost and infectious risk minimization were taken as the decision objectives, and a multi-objective network decision model for the disposal of infectious medical waste was established. NSGA2 algorithm was used to optimize the allocation and treatment scheme of infectious medical waste. Finally, taking the medical waste disposal network in a municipal area during the epidemic period as an example, MATLAB was used for simulation. The results of the example show that the multi-objective medical waste disposal network is superior to the single objective.

关 键 词：感染性医疗废物 多目标处置网络 NSGA2 新冠疫情 

分 类 号：F713.2[经济管理—产业经济]