智能交通背景下突发公共卫生事件医疗废物应急处置运输网络优化研究

IF 2.5 4区综合性期刊 Q2 CHEMISTRY, MULTIDISCIPLINARY

Applied Sciences-Basel Pub Date : 2023-09-08 DOI:10.3390/app131810122

Fei Zhao, Xi Wang, Beibei Liu, Wenzhuo Sun, Zheng Liu

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引用次数: 0

摘要

为了构建更全面的医疗废物应急处置和运输网络系统，需要考虑各种不确定因素和数据特征。因此，本文在智能交通背景下，考虑感染性医疗废物产生量和区域人口密度的不确定性，以及多周期、多目标条件下感染性医疗废物应急处置的不确定性，构建了不确定条件下感染性医疗废物多周期应急处置物流网络优化模型。通过对中国武汉市医疗废物处置物流网络模型的确定性变换和数据挖掘，利用MOPSO-NSGA2智能算法求解了不确定条件下的多目标模型并进行了灵敏度分析，验证了算法的有效性和优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on Optimization of Medical Waste Emergency Disposal Transportation Network for Public Health Emergencies in the Context of Intelligent Transportation

In order to build a more comprehensive emergency disposal and transportation network system for medical waste, it is necessary to consider various uncertain factors and data characteristics. Therefore, in the context of intelligent transportation, this article considers the uncertainty of the quantity and regional population density of infectious medical waste generation as well as the emergency disposal of infectious medical waste under multi-cycle and multi-objective conditions, and it constructs a multi-cycle emergency disposal logistics network optimization model for infectious medical waste under uncertain conditions. Through deterministic transformation of the model and data mining of the medical waste disposal logistics network in Wuhan, China, the multi-objective model under uncertain conditions was also solved and sensitivity analyzed using the MOPSO-NSGA2 intelligent algorithm, verifying the effectiveness and superiority of the algorithm.

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来源期刊

Applied Sciences-Basel CHEMISTRY, MULTIDISCIPLINARYMATERIALS SCIE-MATERIALS SCIENCE, MULTIDISCIPLINARY

CiteScore

5.30

自引率

11.10%

发文量

10882

期刊介绍： Applied Sciences (ISSN 2076-3417) provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.