会员中心     
首页 > 资料专栏 > 论文 > 技研论文 > IT论文 > MBA硕士毕业论文_C公司分销物流网络优化研究PDF

MBA硕士毕业论文_C公司分销物流网络优化研究PDF

maochun***
V 实名认证
内容提供者
资料大小:24172KB(压缩后)
文档格式:PDF(92页)
资料语言:中文版/英文版/日文版
解压密码:m448
更新时间:2023/8/27(发布于江苏)

类型:金牌资料
积分:--
推荐:免费申请

   点此下载 ==>> 点击下载文档


“MBA硕士毕业论文_C公司分销物流网络优化研究PDF”第1页图片 “MBA硕士毕业论文_C公司分销物流网络优化研究PDF”第2页图片 图片预览结束,如需查阅完整内容,请下载文档!
文本描述
A Dissertation Submitted to Guangdong University of Technology
for the Master of Business Administration
Research on optimization of distribution logistics
network of company C
Candidate: Li Sheng
Supervisor: Prof.Liao Nuo
Out-of-school Supervisor: Chen Zhen Guang
May 2022
School of management
Guangdong University of Technology
Guangzhou, Guangdong, P. R. China, 510520
摘要
摘要
随着中国饮料市场的发展,饮料品牌越来越多,品牌之间的竞争也越发激烈。其
中能量饮料在近几年的迅猛发展,行业年复合增速维持 15%左右,其“补充能量”的
功能标签特别深受以体力劳动为主的“蓝领”阶层喜爱。而中国内地数量庞大的“蓝
领”阶层却广泛分布于以制造业及劳动密集型行业为主的一线城市周边以及二、三线
城市的区域。高增长加上广泛的受众群体吸引着众多饮料品牌争相角逐,同时其受众
人群的分布特性也对能量饮料厂家的供应链发起了更多的挑战,尤其在分销物流领域。
本文在此背景下,结合 C公司的销售运营环境,对 C公司成品分销的物流网络进
行现状剖析和问题发现,并对其在中国地区的成品分销物流网络进行优化,实现降本
提效,为 C公司进军更广阔的市场提供支持与保障。
本文首先会介绍本课题的研究背景以及目前国内外对于物流网络、物流节点选址、
物流网络优化和库存管理策略的相关理论,为后续的研究工作奠定背景和理论基础。
然后,经过对 C公司分销物流运营现状的调查与分析,了解到到货时间长、货损频繁、
运费效率低下是其分销物流遇到的主要问题,运用鱼骨图与 5Why分析法相结合找出
现有的二级直发供应链网络已经不再适合 C公司的业务现状,从而提出对 C公司现有
的仓网布局重新规划优化的需求。之后,依据多级供应链网络设计与加权距离设施选
址理论,结合 C公司过去一年的分销物流运营数据,进行定性定量分析与建模仿真求
解。最后,通过仿真求解出多套不同的优化方案,并且根据优化前后的成本、服务质
量、调拨策略以及公司销售运营策略进行匹配对比,最终选择了增设昆明与西宁 2个
DC的优化方案——用损失能够节约的 6%的物流成本换取提升 20%的服务水平来对 C
公司分销物流进行优化。
关键词:物流网络;优化模型;分销物流;零担/整车运输;设施选址
I
广东工业大学硕士专业学位论文
ABSTRACT
With the development of China's beverage market, there are more and more beverage
brands in the market, and the competition among beverage brands is becoming more and
more fierce. Among them, energy drinks have developed rapidly in recent years, and the
compound annual growth rate of the industry has maintained about 15%. Its functional label
of "replenishing energy" is deeply loved by the majority of "blue collar" workers who
mainly work manually. China's mainland has a large number of "blue collar" classes, which
are widely distributed in secondand third tier cities and areas aroundfirst tier cities
dominated bymanufacturing andlabor-intensive industries. Highgrowth anda wide
audienceattractmanybeveragebrandstocompete.Inaddition,thedistribution
characteristics of its audience also pose more challenges to the supply chain of energy
beverage manufacturers, especially in the field of distribution logistics.
In this context, based on the sales and operation environment of company C, this thesis
analyzes and finds problems in the logistics network of finished product distribution of
company C, optimizes its finished product distribution logistics in China, reduces costs and
improves efficiency, and provides support and guarantee for company C to enter a broader
market.
Firstly, this thesis will introduce the research background of this topic and the relevant
theories of logistics network, logistics node location, logistics network optimization and
inventory management strategy at home and abroad, so as to lay a theoretical foundation for
the follow-up research work. Then, through the investigation and analysis of the current
situation of distribution logistics operation of company C, it is understood that the long
arrival time, frequent cargo damage andlow freight efficiency are the main problems
encountered by its distribution logistics. The combination of fishbone diagram and 5WHY
analysis method is used to find out that the existing secondary direct delivery supply chain
network is no longer suitable for the current business situation of company C, so as to put
forward the demand for re planning and optimization of the existing warehouse network
layout of company C. Then, based on the multi-level supply chain network design and
weighted distance facility location theory, combined with the distribution logistics operation
data of company C in the past year, qualitative and quantitative analysis and modeling and
simulation solution are carried out. Finally, several sets of optimization schemes are solved
through simulation, and according to the matching comparison of cost, service quality and
allocation strategy before and after optimization, combined with the sales and operation
II