基于O2O的河北国大物流配送模式选择及路径优化研究

发布时间：2018-11-08 06:46

【摘要】：伴随着经济全球化、信息化、一体化的不断发展,互联网的普及,电子商务的发展进入我们生活的各个领域,物流配送行业的发展不仅带来消费者观念的转变,也引起了企业的高度重视,对经济生活带来了巨大变化。配送作为连接生产与消费的桥梁,起中介作用。配送路线的优化,是物流配送中的一个关键环节。配送路径是否合理对配送速度、成本、效益影响很大,因此设计合理、高效的配送路线方案,不仅可以降低作业成本,减少配送时间,提高企业的效益,而且可以更好地为客户服务,提高客户的满意度,维护企业良好的形象。本文针对国大商业连锁有限公司当前的配送成本高、配送效率低等问题,以O2O环境下的物流配送模式影响因素即成本因素、服务因素、环境因素、其他因素等为依据,运用层次分析法从自营配送模式、第三方配送模式、共同配送模式、供应商配送模式四种配送模式中,针对国大自身现状选择自营配送模式,以自营配送模式为依托,构建了国大集中配送到门店的物流配送TSP数学模型,以隐藏在数据中的知识为支撑,运用遗传算法对建立的模型进行求解,为国大36524便利店物流配送进行路径优化,并分析在O2O环境下门店配送至最终客户的系统优化,最后提出河北国大物流配送体系的优化建议。
[Abstract]:With the continuous development of economic globalization, information technology and integration, the popularity of the Internet, the development of e-commerce into all areas of our lives, the development of logistics and distribution industry not only brings the change of consumer concept. Has also caused the enterprise's high attention, has brought the huge change to the economic life. As a bridge between production and consumption, distribution plays an intermediary role. The optimization of distribution route is a key link in logistics distribution. Whether the distribution route is reasonable or not has a great influence on the distribution speed, cost and benefit. Therefore, designing a reasonable and efficient distribution route scheme can not only reduce the cost of operation, reduce the distribution time, but also improve the benefit of the enterprise. And can better serve customers, improve customer satisfaction, and maintain a good image of the enterprise. Aiming at the problems of high distribution cost and low distribution efficiency in Guoda Commercial chain Co., Ltd., this paper bases on the influencing factors of logistics distribution mode in O2O environment, namely, cost factor, service factor, environment factor, other factors, etc. According to the current situation of the National University of China, this paper chooses the self-owned distribution model, which is based on the self-owned distribution mode, the third party distribution mode, the common distribution mode and the supplier distribution mode. This paper constructs the TSP mathematical model of logistics distribution from centralized distribution to store of the National University. Based on the knowledge hidden in the data, the model is solved by genetic algorithm, and the route optimization for the logistics distribution of the 36524 convenience store of the National University is carried out. The system optimization of distribution from store to final customer in O _ 2O environment is analyzed. Finally, the optimization suggestion of logistics distribution system of Hebei National University is put forward.
【学位授予单位】：河北科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U116.2;F252

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