考虑碳排放的混合轴辐式省域煤炭物流网络优化OACHSSCD

To address the issues of complexity,low efficiency,high costs,and excessive carbon emissions in provincial coal logistics networks,this study proposes a hybrid hub-and-spoke network optimization method considering economic and environmental objectives.We develop a bi-objective nonlinear programming model that systematically integrates hub construction costs,transportation costs,and carbon emission factors in transfer operations.An enhanced NSGA-II algorithm incorporating dynamic crossover probability and hill-climbing-based local search strategies is designed to improve convergence speed and solution diversity.A case study is conducted using the network of Shanxi Province with 11 cities and 8 external nodes.Results demonstrate that when scale effect coefficient a=0.55 with the number of hubs p=4,the hybrid hub-and-spoke network achieves 25.75%cost reduction and 58.75%carbon emission reduction compared with the traditional direct transportation.Sensitivity analysis reveals nonlinear coupling between scale effects and hub quantities.The optimal configuration is a=0.55 with 4 hubs for the maximal economic-environmental benefit.This study validates that hub-intensive operations in hybrid networks can achieve coordinated optimization of scale economies and emission reduction,providing quantitative decision support for the low-carbon transition of provincial coal logistics.