Abstract
Traditional literature has only considered the dual constraints of waste stacking and storage and vehicle transportation, and given little thought on environmental risk control. In light of this problem, this paper proposes a multi-objective optimization model considering cost, environmental risk and social risk and verifies the feasibility of the proposed model through an instance. The proposed cost-environment risk-social risk multi-objective optimization model is a multi-layer network structure. It considers the environmental capacity constraint and the environmental and social risks for recycling hazardous chemicals and performs clustering analysis based on the multi-layer genetic algorithm. The results show that compared with the optimization solution considering social risk only, the one considering environmental risk only reduces the total cost by about 66.98% and that the multi-objective optimization solution considering construction cost, environmental risk and social risk reduces the total cost by about 71.39%, indicating that environmental risk is the most important factor for the location-transportation route optimization scheme. In summary, the multi-objective optimization solution considering construction cost, environmental risk and social risk established in this paper can achieve the best overall optimization.
