An Optimal Reverse Logistics Network Model For Construction Waste Recycling

With the further development of urbanization in china,new buildings and demolition of buildings will inevitably generate a large amount of construction waste.From the perspective of environment,economy and society,the management of construction waste resources is also attracting more and more attention.Although relevant government departments have been promoting the recycling of construction waste,the overall recycling rate is at a low level,and the reverse logistics network of construction waste recycling is an important link in the management of construction waste recycling.The scientific logistics network of the construction will directly affect the overall operating efficiency of construction waste recycling.This paper defines the related concepts of construction waste recycling,reverse logistics and low-carbon logistics,analyzes the content of construction waste recycling reverse logistics network content and resource recycling logistics network node location,and analyzes low-carbon logistics.The related concepts are integrated into the construction of the model.Secondly,AHP-Entropy was used to analyze the factors affecting the location of construction waste recycling and sorting centers and remanufacturing centers.With the help of GIS technology and multi-objective particle swarm algorithm,the construction waste recycling reverse logistics network node location optimization model were established.Based on the obtained candidate locations and the relevant basic data of Panyu District,Guangzhou City,a case simulation was carried out,and the results were obtained:（1）Relevant factors affecting the site selection of the reverse logistics network node for the recycling of construction waste were identified and the weights were determined using AHP-Entropy.The top three weights are the distance to the water source protection area（0.2144）.The distance to the basic farmland protection area（0.1922）,and the distance to urban residents（0.1080）;（2）Use Arc GIS to build a logistics network node location model,and collect GIS data from Panyu,Guangzhou.Analyzing each layer,it is finally concluded that the most suitable construction waste disposal site is 20.48 million m~2,accounting for 3.8642%of the total area of Panyu District.And based on field research,the candidate locations of 6recycling and sorting centers and 4 remanufacturing centers were finally determined;（3）Construct a reverse logistics network optimization model for the recycling of construction waste.The objective function is to minimize the total cost and carbon emissions in the logistics network system.Based on this,collect relevant basic data of Panyu District,Guangzhou City,and use multi-objective particle swarm algorithm to simulate and solve the model.Obtain the optimal site selection plan with the balance of total cost and carbon emissions.At this time,the carbon emissions are 30037.36t,and the total cost is 5,836,622,400 yuan,which verifies the validity and feasibility of the model;（4）The government and other relevant regulatory agencies play an important role in the construction of a reverse logistics network for the recycling of construction waste.Based on the above results,the sensitivity of government subsidies and carbon tax rates is analyzed.In the end,a range of the government’s best subsidy fines and carbon tax rates for stakeholders can be obtained.When the carbon tax rate changes within the range of-10%～+10%,the carbon tax rate will have a better regulatory effect on the logistics network;（5）Strengthen the government’s market supervision while reducing corporate carbon emissions.Encourage relevant resource-based enterprises to improve their technological level and use advanced equipment with higher technological content and less energy consumption.Reduce the increased operating costs of enterprises due to the payment of carbon taxes,and achieve a true government-enterprise win-win situation.Make the construction waste carbon emission from government policy guidance to a new situation of enterprise autonomy and market freedom.The research results further enrich the reverse logistics network optimization system for the recycling of construction waste resources,and provide references for government management departments to plan reverse logistics management chains and logistics node locations.