关键词: 碳排放, 生产&mdash, 库存&mdash, 配送协同优化, 混合粒子群算法, 供应链

Abstract: Aiming at the carbon emissions produced by distribution vehicles in supply chains,and based on the speed of vehicle changes as the important variable under time-varying network,a model was established by considering the combined objectives of carbon emissions with coordinating optimization of production time,inventory time and distribution routes.In the model,the constraints such as product category,time windows of customer demand and full load rate of vehicle and time for loading and unloading were taken into consideration.A hybrid particle swarm optimization algorithm combined with ant colony algorithm was proposed to optimize the model,and the encoding and decoding method of two real numbers were designed.Pheromone intensity method in the ant colony algorithm was used to update the directions of ants to keep the hints on their directions and memories during the update process.The validity of the model and algorithm was verified by the simulation optimization and comparative analysis by numerical examples.

Key words: carbon emission, production-inventory-distribution coordination optimization, hybrid particle swarm algorithm