Waste Recycling Logistics Network Optimization Considering Multi-agent Benefit

With the rapid development at urbanization level,separate recycling has been animportant problem in the municipal waste management.Due to the extensive application of circular economy and green supply chain,the recycling and classification of municipal waste has become one of the hot spots in the current research.Sum to up,it’s of great value to construct the scientific recycling logistics network to separately recycle the different types of urban waste.This paper is guided by system theory and based on the idea that manufacturers entrust waste recycling enterprises to establish green logistics of product recovery.The aim is to comprehensively consider the waste products and domestic waste recycling problems of manufacturing enterprises,plan the construction of urban waste classification and study recovery logistics system scientifically.This paper is guided by system theory and based on the idea that manufacturers entrust waste recycling enterprises to establish green logistics of product recovery.The aim is to comprehensively consider the waste products and domestic waste recycling problems of manufacturing enterprises,plan the construction of urban waste classification and study recovery logistics system scientifically.The waste classification and recycling network layout studied should solve two problems.The first one is transfer station location and capacity construction and the second one is the daily transportation scheduling with different types of waste.The logistics network should comprehensively consider the long-term cost of the transfer station location and the short-term cost of transportation scheduling,so as to scientifically build the logistics network with the lowest comprehensive cost.This paper considers integrating solve station location and garbage classification recycling with bi-level programming model to optimize the logistics network construction,in which residents ask for current pickup and manufacturers allow the recycling cycle.The upper-level model mainly describes the station location planning and transit point,demand point distribution.According to the fixed construction cost,variable processing cost and the manufacturer subsidies,the upper-level model is to minimize decision-making target and meet the demand of all points with manufacturers products demand and transit capacity limit.The lower-level model mainly describes the process of optimizing the vehicle routing.According to the fixed vehicle cost,penalty cost and transportation cost,the lower-level model is to minimize the cost with flow balance,vehicle load capacity,and storage capacity constraints.Due to the non-convexity and non-differentiability of site-path planning model,the computational complexity of the overall model is NP-hard.The convergence condition of model iteration is to reach the maximum number of iterations within a reasonable range of the selection number.Then,the logistics network is to maximize the construction cost of the transfer station,the logistics cost of garbage classification,and the comprehensive benefit of manufacturer subsidies.Finally,a recycling company in Hubei Province was taken as an example to design the application scenario of the algorithm,and the simulation proved that the model proposed in this paper could scientifically solve the logistics network for different types of garbage recycling in the long term and short term.The models and algorithms in this paper can provide effective solutions for the logistics network,then encourage the cooperation between manufacturing enterprises and waste recovery enterprises and finally build an intensive green waste recovery network.