面向农村电子商务的物流网点竞争合作模型
[Abstract]:Thanks to the improvement of the urban logistics system, the e-commerce market of consumer goods has become larger and bigger, and has profoundly changed the consumption habits of urban residents. Since 2007, the major e-commerce enterprises, express delivery enterprises and so on began to set up in rural areas to join the network, extending the logistics chain to the vast rural consumer market, to provide functional support for the circulation of e-commerce consumer goods. Trying to bridge the gap between rural and urban commodity circulation. However, two key problems need to be solved in setting up logistics outlets in rural areas. First, the commodity circulation industry has low profit rate, how to save the high logistics cost to continue to extend the scope of distribution; secondly, how to ensure the level of logistics service when the transportation distance is greatly extended. In order to explore the solution, this paper mainly does the following research work: (1) the analysis of the logistics environment firstly analyzes the characteristics of rural e-commerce consumer market, commodity circulation channels and the operation mode of distribution links. This paper expounds how the electronic commerce consumer goods are transported to the rural market through the way of logistics, and points out the problems existing in the distribution links and puts forward the solutions. In order to clarify the market environment and logistics environment. (2) the network service competition analysis according to the network logistics operation mode to carry on the market competition analysis, uses the game theory, takes the logistics network which faces the countryside electronic commerce as the market competition main body, The competition model of decentralized decision and the cooperative model of centralized decision are established based on the strategy of distribution service level, and the optimal strategy comparison and numerical simulation analysis are carried out. The potential advantages of cooperative distribution are pointed out. (3) Distribution simulation and optimization under competition and cooperation are established according to the spatial distribution characteristics of rural e-commerce consumption market, and quantitative evaluation of distribution operations under competitive cooperation is constructed. Then according to the spatial distribution characteristics of market segmentation, the concept of delay strategy is proposed to different markets to take different distribution operation organization plan, finally achieve the effect of saving resource consumption and improving service level. Finally, the simulation is established to provide decision support, and simulation technology is used to evaluate the effect of competitive cooperation under conventional strategy and cooperation under delay strategy. (4) A case study of old county and town is carried out. The simulation results show the reliability and practicability of the model by comparing the distribution efficiency and the difference of the time on the way under the conventional strategy and the delay strategy in the case of competition and cooperation. It has been proved theoretically that it is possible to optimize the market by cooperation and adopt the delay strategy, which provides a scientific basis for the decision of the rural e-commerce logistics network. There are still many problems to be solved under the situation that the development of rural logistics in our country is relatively backward. In the process of the integration of urban and rural logistics, the market environment and logistics environment of e-commerce industry are constantly developing and changing. For example, the form of highway network, the condition of logistics facilities, the distribution pattern of rural residents and the consumption habits, we should constantly seek new methods of improvement and optimization according to the actual conditions in the future.
【学位授予单位】:西南交通大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:F724.6;F252
【参考文献】
相关期刊论文 前10条
1 龙志昆;张争胜;;基于GIS的镇域乡村聚落空间分布特征分析——以广州市江高镇为例[J];城市地理;2016年10期
2 李赫;;农村物流末端配送的机遇、挑战与优化路径[J];重庆科技学院学报(社会科学版);2016年03期
3 郑贵华;黄婉琳;;电子商务背景下农村物流配送问题及对策[J];经济论坛;2016年02期
4 周程;陶君成;;新常态下湖北省城乡物流一体化整合与创新途径[J];物流技术;2015年15期
5 张毕西;王文龙;张明珠;于秀丽;;三级供应链间stackelberg博弈分析[J];数学的实践与认识;2015年15期
6 张喜才;;电子商务进农村的现状、问题及对策[J];农业经济与管理;2015年03期
7 史晓原;;基于电子商务背景的农村市场物流配送研究[J];物流技术;2015年05期
8 鲁其辉;曾利飞;包兴;;基于Stackelberg博弈的供应链采购融资模式[J];控制与决策;2014年10期
9 梁晓音;;基于个人电子商务流通模式的农村物流发展体系构建[J];商业时代;2014年17期
10 丁斌;罗秋慧;;在线零售商和物流商的配送能力博弈分析[J];科研管理;2014年03期
相关会议论文 前1条
1 朱月霞;吴勤书;;基于GIS的交通优势对农村居民点空间分布影响研究[A];第九届长三角科技论坛(测绘分论坛)论文集[C];2012年
相关博士学位论文 前3条
1 韩军涛;电子商务背景下我国快递业发展与协同机制研究[D];北京邮电大学;2014年
2 戴航;基于博弈分析的物流园区运营模式研究[D];武汉理工大学;2010年
3 帅斌;物流产业化发展机理与政府规制研究[D];西南交通大学;2005年
相关硕士学位论文 前6条
1 郑辉;基于预期收益角度的快递企业合作演化博弈分析[D];中国科学技术大学;2015年
2 杨玲;中国邮政和民营快递关于偏远地区业务的合作机制分析[D];中国科学技术大学;2015年
3 吴勇杰;电子商务环境下的农村流通供应链优化研究[D];成都理工大学;2014年
4 段璐璐;基于博弈论的港口群内竞争研究[D];浙江大学;2014年
5 余鹏;农村双向物流供应链模式的研究[D];江西财经大学;2013年
6 钱坤;基于博弈的物流服务定价问题研究[D];大连海事大学;2008年
,本文编号:2258721
本文链接:https://www.wllwen.com/jingjilunwen/dianzishangwulunwen/2258721.html