Research On Nodes Location Selection And Routing Planning Of Medical Waste Recycling In Beijing

In recent years,Chinese medical and health care business has developed rapidly,and along with the huge volume of medical work comes the increasing production of medical waste.However,the current management of medical waste recycling and disposal in China lags behind the economic development,and fewer studies related to hazardous waste recycling logistics network planning focus on medical waste.Meanwhile,in terms of qualitative aspects,the recycling logistics networks designed by existing studies lack detailed descriptions of the functions of network nodes;in terms of quantitative aspects,the constraints in the models built are not sufficient to reflect the actual logistics process,for example,only single logistics network endpoint and single use of vehicles are considered.In general,the relevant research lacks relevance.This thesis focuses on the logistics of urban medical waste recycling and disposal,and focuses on the nodes location selection and routing planning of the recycling network taking Beijing as an example.The main research contents are as follows.(1)Based on the current situation of research,relevant theories and research interviews,a problem analysis of the current situation of urban medical waste recycling and disposal in China is conducted,and five improvement directions are proposed,while a universal and standardized disposal process is designed.Taking Beijing as an example,two reverse logistics recycling networks of urban medical waste under two problem scenarios are redesigned,and the functions of nodes at all levels in the recycling network are clarified.(2)Based on the urban medical waste single disposal enterprise recycling network under the scenario of single disposal enterprise and single transportation of vehicle,two models of recycling nodes location selection problem and Capacitated Vehicle Routing Problem with Time Windows(CVRPTW)are developed.To solve the two models,a genetic algorithm and an improved ant colony algorithm incorporating the local searching strategy are designed,and the validity of the models and algorithms is tested using Solomon Benchmark standard algorithms.(3)Based on the urban medical waste multi-disposal enterprise recycling network under the scenario of multiple disposal enterprises and multiple tours of vehicle,the Multidepot Vehicle Routing Problem with Time Windows(MDVRPTW)model is established,and a new Dual Ant Colony Algorithm is designed to solve the model.(4)A large amount of detailed relevant data from all medical institutions in the Xicheng district of Beijing and 75 representative tertiary hospitals in six major urban areas of Beijing is collected comprehensively and estimated scientifically.While previous studies usually only collected data from large hospitals,this thesis contains data from a total of 443 large,medium,small and micro medical institutions in Xicheng district.The scale of the data is much larger,and the practical guidance is much stronger.(5)Using the actual data collected in Beijing,the three models of recycling nodes location selection problem,CVRPTW,and MDVRPTW described above are verified by practical case.Finally,a more satisfactory and operable plan for location selection of medical waste collection points and transport routing planing for all medical institutions in Xicheng district of Beijing,and a medical waste transport routing planing for 75 tertiary hospitals in urban areas of Beijing are derived.This thesis expands the research object of reverse logistics,with improvements and innovations in VRP model,ant colony algorithm,and data collection.The research results can provide valuable reference suggestions for medical waste recycling and disposal management in Beijing and similar cities.