Research On Optimization Of Waste Electrical And Electronic Recycling Network

The environmental problem is one of the world’s top ten difficult problems,how to realize the reduction,recycling and harmlessness of Waste Electrical and Electronic Equipment(WEEE)is a major subject worthy of research.WEEE recycling process is not only a process of resource recovery and ecological protection,but also a kind of economic activity to create value.Recycling behavior can not only improve the ecological environment,create huge economic benefits,but also continue to improve the WEEE recycling network.In this study,the characteristics,operating mechanism and optimization factors of waste electrical appliances recycling network were analyzed,and a multi-objective optimization model of waste electrical appliances recycling network location path problem under uncertain conditions was constructed,and the model was tested by empirical research.The specific research contents and achievements are as follows:(1)The characteristics,operation mechanism and optimization factors of WEEE recovery network are analyzed.In order to establish a reasonable WEEE recycling network optimization model,the characteristics,operating mechanism and key elements of the network were analyzed through literature review,literature analysis,induction and deduction.The results show that the network has the characteristics of self-organization,symbiosis and complexity.In the actual network,recycling enterprises are unevenly distributed,and the operation of recycling market presents duality,and the network operation is dynamic and stable through driving mechanism,coordination mechanism and feedback mechanism.Finally,it is found that the WEEE recycling network includes four layers of network nodes and three network paths,and the key facility is the reprocessing center.The optimization of recycling network of waste electronic products is mainly affected by uncertainty and multi-periodicity of network.(2)A multi-objective optimization model of Location-Routing Problem(LRP)for WEEE recycling network was constructed.Developing a model,which can simultaneously consider these environmental,social,and economic aspects is our research subject.In this paper,we try to design a multi-echelon multi-period multi-objective model by applying fuzzy mathematical programming for location-routing problem of WEEE recycling network.In order to deal with uncertain parameters,fuzzy mathematical programming is used,and to obtain solutions on Pareto front,the nondominated sorting genetic algorithm II is applied.(3)The LRP multi-objective optimization model of WEEE recovery network is verified.In the research,the relevant data of S province was collected,and the Pareto optimal solution set of location-routing problem for WEEE recovery network was obtained by programming solution.The relationship among economic cost,carbon emission and employment is obtained by analyzing Pareto solution set,and a comprehensive evaluation method for scheme selection is proposed,and the optimal scheme result under this evaluation method is discussed.It is proved that the proposed LRP multi-objective optimization model and the proposed NSGA-II optimization algorithm are feasible,and the fuzzy chance-constrained programming can be used to solve the WEEE recycling network optimization problem.Finally,it is found that the government and enterprises should optimize the WEEE recycling network from the overall perspective of site selection and path,and comprehensively consider the coordinated development of economy,environment and society.Before making the planning,reasonable prediction should be made on the recycling amount,and detailed research should be done on the basic data such as capacity and processing capacity of each facility.This paper provides a research idea combining qualitative and quantitative analysis for WEEE recycling network optimization.The WEEE recycling network optimization theory is enriched,the application field of fuzzy chance constrained programming model is expanded,and the applicability of NSGA-II algorithm is further tested.At the same time,the research provides a new solution to the location-routing problem of the reprocessing center under the multi-cycle WEEE network and the uncertain amount of recycling.This study can not only improve the efficiency of WEEE recycling in China,but also complete the recycling network system,so it has a strong practical significance.