物流技术

在烟草行业高质量发展背景下，省域烟草物流配送中心网络布局长期受行政区划限制，存在布局分散、资源浪费、服务覆盖不均等问题，传统布局已难以适配行业发展需求。为此，以H省烟草物流为研究对象，构建涵盖配送、仓储、分拣、管理及改扩建费用的总成本优化模型，采用遗传算法求解区域物流配送中心布局优化方案。通过对H省烟草物流配送中心网络布局现状与运营数据进行系统分析，并结合实际运营需求，最终确定“4+2”区域物流配送中心布局方案。该方案在显著降低物流总费用的同时，配送效率与服务覆盖均衡性也同步提升。研究结果为烟草行业区域物流配送中心选址优化提供了科学可行的技术路径与实践参考，同时也为存在跨区域物流需求、面临布局分散痛点的行业，提供了降本增效的有益借鉴。

Against the backdrop of high-quality development in the tobacco industry, the network layout of provincial tobacco logistics distribution centers has long been constrained by administrative divisions, resulting in issues such as dispersed layout, resource waste, and uneven service coverage. Traditional layouts are increasingly unable to meet the evolving demands of industry development. Therefore, taking the tobacco logistics system of H Province as the research object, this study constructs a total cost optimization model incorporating distribution, warehousing, sorting, management, and facility renovation and expansion costs. A genetic algorithm is employed to solve the optimization scheme for the layout of regional logistics and distribution centers.Through a systematic analysis of the current status and operational data of the tobacco logistics distribution network in H Province, combined with practical operational requirements, a "4+2" regional logistics and distribution center layout scheme is ultimately determined. This scheme significantly reduces the total logistics costs while simultaneously improving distribution efficiency and the balance of service coverage. The findings provide a scientific and feasible technical approach and practical reference for the location optimization of regional logistics distribution centers in the tobacco industry. Furthermore, they offer valuable insights for cost reduction and efficiency improvement in industries facing similar pain points of dispersed layout and cross-regional logistics demands.