Reverse Logistics Network Design for Industrial Waste in Industrial Clusters: Opportunities from Artificial Intelligence Technology

In order to solve the problem of industrial waste accumulation in industrial agglomeration area, reduce the hidden dangers of manual operation, relying on intelligent logistics and artificial intelligence image recognition technology, this paper proposes a kind of “waste recycling-artificial intelligence identification-classification distribution activation” industrial waste “self-identification” - Cloud distribution mode. Based on the refinement of the process of each node of the logistics network, a multi-objective mathematical model of the artificial intelligence-industrial waste reverse logistics network with the lowest overall cost of the network system and the lowest waste landfill rate was established. And using Lingo software to solve the problem, the optimized location scheme of artificial intelligence recycling classification center is obtained.