当前位置:主页 > 管理论文 > 供应链论文 >

基于空间连续需求的最大覆盖模型在银行业选址的应用

发布时间:2018-08-27 20:41
【摘要】:选址问题往往是一个企业的重要战略规划之一,它关乎一个企业的生死存亡。随着经济全球化的发展以及企业之间的竞争日趋激烈,使得选址问题越来越成为一个重要的命题,企业对其的关注度也越来越高。尤其是近年来物流及供应链管理的长足发展,选址问题已经渐渐成为很多企业日常决策当中不可或缺的重要组成部分。 由于很多经典最大覆盖选址模型当中没有完全充分的考虑到所在的区域空间的需求分布,以及部分覆盖如何划分等方面,本文在总结前人工作成果的基础上,对原有的经典最大覆盖选址模型进行相应的改进,提出一种考虑空间内需求连续分布的模型,将代表对足够多次的部分覆盖,进行部分考虑的一个参数引入其中,并对其进行空间分析和模型的仿真模拟运算。结果显示,在不同的条件下新模型的结果都较旧的模型具有明显的改进,仿真模拟的结果显示经过新模型优化后,原有的情况得到了明显的改善。将新模型应用到天津银行的分行在天津市和平区选址分布的案例中,计算并与现在的情况作比较,,证明了对新模型的研究具有很好的理论和实用价值。 首先,论文阐述了研究的背景、研究的意义、内容安排和创新之处。论文从银行支行选址对一个银行在当地市场发展的重要性战略意义说明其研究意义,再通过总结国内外相关专家学者的工作成果以及对论文内容的内容安排陈述,最后指出本论文的创新点。 其次,论文详细介绍了关于选址问题国内外发展历程。包括P-中位问题,P-中心问题,覆盖问题等方面,并对最大覆盖问题进行重点分析介绍。最后,对选址问题涉及的一些相关基础知识进行了介绍。 第三,论文提出经典最大覆盖选址模型以及提出来的新的最大覆盖选址模型,之后引入天津银行在天津市和平区选址分布的案例,运用应用软件分别通过两个模型计算结果。 第四,通过数据的比较和分析,发现新模型的先进性和与现实情况的接近性。之后,通过新的模型对天津银行支行分布提出两个改进优化方案。 最后,对全文的内容及研究结论和创新点进行总结,并指出文章所涉及模型的不足和可改进指出,并对该领域的研究方向做一个展望。
[Abstract]:Location selection is often one of the important strategic plans of an enterprise, which is related to the life and death of an enterprise. With the development of economic globalization and the increasingly fierce competition among enterprises, the problem of location selection becomes more and more important, and enterprises pay more and more attention to it. Especially with the rapid development of logistics and supply chain management in recent years, location selection has gradually become an indispensable part of the daily decision-making of many enterprises. Because many classical maximum coverage location models do not fully consider the demand distribution of the region, and how to partition the partial coverage, this paper summarizes the previous work results. Based on the improvement of the classical maximum coverage location model, a new model considering the continuous distribution of spatial requirements is proposed, which introduces a parameter which is representative of partial coverage with sufficient number of times to be partially considered. Spatial analysis and simulation of the model are carried out. The results show that the results of the new model are obviously improved compared with the old model under different conditions. The simulation results show that after the new model is optimized, the original situation is obviously improved. The new model is applied to the case of the location distribution of the branch of Tianjin Bank in the Heping District of Tianjin. The calculation and comparison with the present situation prove that the study of the new model has good theoretical and practical value. First of all, the paper expounds the background, significance, content and innovation of the research. This paper explains the significance of the research from the importance of bank branch location to the development of a bank in the local market, and then summarizes the work results of relevant experts and scholars at home and abroad, as well as the content arrangement of the content of the paper. Finally, the innovation of this paper is pointed out. Secondly, the paper introduces the development of site selection at home and abroad in detail. It includes P- median problem, P- central problem, covering problem and so on. At last, some basic knowledge about site selection is introduced. Thirdly, the classical maximum coverage location model and the new maximum coverage location model are proposed. Then the case of Tianjin Bank's location distribution in Heping District of Tianjin is introduced, and the results are calculated by two models using the application software. Fourth, through the comparison and analysis of the data, we find that the new model is advanced and close to the reality. Then, through the new model, two improved optimization schemes are proposed for the branch distribution of Tianjin Bank. Finally, the paper summarizes the contents, conclusions and innovations of the paper, points out the shortcomings of the models involved in the paper and points out that they can be improved, and makes a prospect for the research direction in this field.
【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F832.3

【参考文献】

相关期刊论文 前10条

1 黎雯;周廷刚;张伟;;GIS空间分析与模糊综合评判在银行ATM网点选址中的应用[J];测绘科学;2008年01期

2 徐臻;胡晓丹;;外资银行网点选址研究[J];财经界(学术版);2012年01期

3 祝英丽;李小建;;欠发达地区农村金融机构的空间可达性分析——以河南省巩义市为例[J];地域研究与开发;2010年03期

4 赵俊红;马军海;李瑞山;;基于天津市公共交通网络的复杂性研究[J];复杂系统与复杂性科学;2009年04期

5 李峰;薛耀文;;基于复杂网络的银行网点布局研究[J];复杂系统与复杂性科学;2011年02期

6 屈波;杨超;马云峰;翁克瑞;;基于时间满意的覆盖问题及混合遗传算法实现[J];工业工程与管理;2008年01期

7 张立新;丁建新;;商业银行网点布局实证研究——以衡水市为例[J];经济与管理;2012年03期

8 李睿;朱琦;;基于进化博弈模型的县域银行网点布局的分层现象研究[J];金融经济;2009年24期

9 宋根节;娄燕强;;基于熵权法和灰色关联的商业银行网点选址分析[J];金融经济;2010年06期

10 孙会君,高自友;一类有竞争的物流配送中心选址模型[J];交通运输工程学报;2002年04期



本文编号:2208395

资料下载
论文发表

本文链接:https://www.wllwen.com/guanlilunwen/gongyinglianguanli/2208395.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户f2954***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com