Reverse Logistics Network Model of Dual-Channel Recycling Boxes Based on Genetic Algorithm Optimization: A Multi-Objective and Uncertain Environment Perspective

In the context of carbon neutrality, plastic ban, and green development, this paper aims to maximize comprehensive interest manufacturers in building a sustainable logistic network. It proposes reverse logistics network model dual-channel with multiple objectives random environment for construction recycling boxes projects uses Stackelberg game develop pricing strategies recyclers genetic algorithm optimize networks. This found following: multi-objective evaluation is more conducive development; when consumers are price-sensitive, stronger rebate can significantly increase revenue; online platform should invest marketing than traditional recyclers; retailers’ willingness cooperate has significant impact on overall benefits; government subsidies marginal needs be controlled certain extent; credit insignificant, strength commercial banks’ scrutiny companies little effect; an environmental uncertainty within range lead loss benefits, excessive out line extreme values. provides basis decision-making enterprises build boxes, subsidies, from banks, recyclers.