考虑油耗和未回收量的医疗废弃物回收路径优化问题研究  

Study on the Optimization of Medical Waste Recycling Path Considering Fuel Consumption and Unrecovered Quantity

作　　者：陈兆芳 陈锃焓 张乐乐 CHEN Zhaofang;CHEN Zenghan;ZHANG Lele(Department of Management,Fujian University of Technology,Fuzhou 350118,China;School of Internet Economics and Business,Fujian University of Technology,Fuzhou 350014,China;Transport Management Institute Ministry of Transport of the P.R.China,Ministry of Comprehensive Transport Education and Research,Beijing 101601,China)

机构地区：[1]福建理工大学管理学院,福州350118 [2]福建理工大学互联网经贸学院,福州350014 [3]交通运输部管理干部学院综合运输教研部,北京101601

出　　处：《交通工程》2024年第5期38-47,共10页Journal of Transportation Engineering

基　　金：福建省社会科学规划重点项目(FJ2024MGCA027),名称:突发事件影响下应急供应链韧性测度与提升策略研究;福州市社会科学规划重点项目(2023FZB05),名称:福州市农业供应链韧性提升路径研究。

摘　　要：为降低车辆在医疗废弃物回收过程中所产生的油耗以及实现医疗废弃物未回收量最小化,在考虑医疗废弃物回收过程具有分散性和有害性的基础上,构建油耗和未回收量最低的多目标医疗废弃物回收路径优化模型。运用标准测试函数证明改进的非支配排序遗传算法(NSGA-Ⅱ)具有较好的收敛性与均匀性。以福州市台江区和鼓楼区内的社区医院为算例,运用改进的NSGA-Ⅱ算法获取医疗废弃物回收物流路径Pareto最优解集,通过TOPSIS法对Pareto最优解进行评价得出最优方案。经对比分析,改进的NSGA-Ⅱ算法得到的回收路径方案比传统的NSGA-Ⅱ算法得到的回收路径方案更优,相较于传统的NSGA-Ⅱ算法得到的回收路径方案,在回收车辆总油耗降低49.34%的同时,总未回收量也略有降低。所构建的多目标医疗废弃物回收路径优化模型有助于医疗废弃物行业实现绿色可持续发展。To reduce the fuel consumption generated by vehicles and achieve minimization of unrecovered medical waste during the medical waste recovery process.A multi-objective optimization model for medical waste recovery paths with the lowest fuel consumption and unrecovered quantity is constructed,taking into account the dispersed and hazardous nature of the medical waste recovery process.Utilizing standard test functions to verify the improved Non-Dominated Sorting Genetic Algorithm(NSGA-II)for its favorable convergence and uniformity.Taking community hospitals in Taijiang District and Gulou District of Fuzhou as an example,the improved NSGA-II algorithm was used to obtain the Pareto optimal solution set of medical waste recycling logistics path,and the Pareto optimal solution set was evaluated by TOPSIS method to obtain the optimal solution.A comparative analysis reveals that the recovery path solutions obtained by the improved NSGA-II algorithm are superior to those obtained by the traditional NSGA-II algorithm.In contrast to the recovery path solutions derived from the traditional NSGA-II algorithm,the improved algorithm achieves a 49.34%reduction in total fuel consumption of recovery vehicles,with a slight decrease in the total unrecovered quantity.The developed multi-objective optimization model for medical waste recovery paths is beneficial for achieving green and sustainable development in the medical waste industry.

关 键 词：公路运输 物流路径 NSGA-Ⅱ 医疗废弃物回收 多目标优化 

分 类 号：U4-9[交通运输工程—道路与铁道工程]