In this paper, for the problem of high total fuel consumption of distribution trucks when multiple concrete-mixing plants distribute concrete together, we established a green fuel consumption model for distribution trucks and solved the model with an improved genetic algorithm to obtain a green distribution scheme for trucks. Firstly, the fuel consumption model is established for the characteristics of commercial concrete tankers; secondly, the adaptive elite retention strategy, adaptive crossover, mutation operator, and immune operation are added to the genetic algorithm to improve it; and finally, the model is solved to obtain the green distribution scheme. The total fuel consumption in this experiment was 189.6 L when the green distribution scheme was used; compared to the total fuel consumption under the original scheme (240 L), the total fuel consumption was reduced by 21.25%. The experimental results show that the total fuel consumption of delivery trucks can be significantly reduced based on the established green fuel consumption model, and the improved genetic algorithm can effectively solve the model.

In order to promote the comprehensive utilization of corn straw and the development of field water-saving irrigation technologies, a kind of underground irrigation composite pipe-forming device mixed with soil extrusion molding was designed. The key extrusion-forming components affecting the forming rate of composite pipe were optimized by taking the diameter of the winch blade, the shaft diameter of the winch, and the winch pitch as variables and the forming rate and the output power of the winch shaft as test indices. The best structural parameters of the extrusion-forming components were obtained by using the weight normalization method; the diameter of the winch blade was 430 mm, the shaft diameter of the winch was 86 mm, the winch pitch was 387 mm, the forming rate was 1.37 kg/s, and the forming rate of the composite pipe was increased by 41%. Field tests were conducted to verify the simulation test results, and the relative error between the forming rate of composite pipe and the simulation test value was 5.88%, which verified the reliability of the simulation test. The average density of the extruded composite tube was 1.92 g/cm³, meeting the requirements for composite tube formation.

Cold chain logistics distribution, a vital activity supporting global urbanization, faces complex challenges in balancing economic, environmental, and social objectives. This study investigates the green vehicle routing problem with a mixed fleet, simultaneously optimizing total cost, carbon emissions, and customer satisfaction. To solve this NP-hard problem, a novel multi-strategy NSGA-III algorithm is proposed, which integrates an adaptive pheromone update mechanism, elite route guidance, and genetic operators to significantly enhance search efficiency and solution diversity in complex solution spaces. Computational experiments on benchmark instances and a real-world case demonstrate the algorithm’s superior performance over mainstream multi-objective optimizers like NSGA-III and NSGA-II in metrics such as hypervolume. Sensitivity analysis further elucidates the impact of key operational parameters on system performance and provides a quantitative decision-making basis for greening urban cold chain fleets. This research offers an effective computational tool for complex sustainable logistics problems, with a modeling framework extensible to other industrial systems facing similar multi-objective trade-offs.