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作 者:李贵杰 孟瑛 LI Guijie;MENG Ying(Lanzhou Bowen College of Science and Technology,Lanzhou 730030,China)
出 处:《物流科技》2025年第6期60-62,共3页Logistics Sci Tech
基 金:2024年兰州博文科技学院应用基础研究“供应链可持续发展中的运筹学技术的应用”(2024BWKY022)。
摘 要:社会经济水平的提高与人们消费能力的升级,推动了农产品市场需求的增长。在农产品行业内部竞争加剧及绿色发展呼声高涨的时代背景下,物流运输配送路径的选择不仅关系着企业的经济效益,也对生态环境产生重要影响。例如,根据《中国绿色物流发展报告(2023—2024)》,我国物流业碳排放占全国碳排放总量的9%左右。其中,货物运输及配送活动是物流业碳排放的三大来源之一。因此,优化配送路径以减少碳排放,成为推动经济社会可持续发展的重要手段;运用科学的方法优化物流运输配送路径、成为企业的迫切要求。文章以X企业为例,综合考虑农产品特性和客户需求等因素,旨在通过设计基于动态混合遗传算法的优化模型,求解出最佳的物流运输配送路径,实现物流运输成本最小化和效率的最大化。The improvement of socio-economic level and the upgrading of people's consumption ability are driving the growth of demand in the agricultural product market.In the context ofintensified competition within the agricultural product industry and the rising call for green development,the choice oflogistics transportation and distribution routes not only affects the economic benefits of enterprises,but also has a significant impact on the ecological environment.For example,according to China Green Logistics Development Report(2023—2024),the carbon emissions of China's logistics industry account for about 9%of the country's total carbon emissions,with cargo transportation and distribution activities being one of the three major sources of carbon emissions in the logistics industry.Therefore,optimizing delivery routes to reduce carbon emissions has become an important means of promoting sustainable economic ands ociald evelopment.Usings cientific methods to optimize l ogistics transportation and d istribution paths has become an urgent requirement for enterprises.This article takes Enterprise X as an example,comprehensively considering factors such as agricultural product characteristics and customer demand,aiming at designing an optimization model based on dynamic hybrid genetic algorithm to solve the optimal logistics transportation and distribution path,and minimize logistics transportation costs and maximize efficiency.
分 类 号:F252[经济管理—国民经济] TP18[自动化与计算机技术—控制理论与控制工程]
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