基于“大数据”的集装箱码头公司大客户管理研究

发布时间：2018-06-05 17:37

本文选题：集装箱物流 + 大数据　；参考：《大连海事大学》2017年硕士论文

【摘要】：随着改革开放的深入发展,港口资源作为区域经济发展的重要依托,迅速成为最炙手可热的投资项目。由于缺乏统筹规划,区域重复建设严重。随着世界经济的持续下行,全球范围内的物流增量非常有限,各港集团的吞吐量均不同程度被周边地区新兴集装箱码头公司蚕食。在这种大环境下,必须充分利用自身现有数据资源,通过提升大客户管理的质量和水平来重新掌握市场主动权。大客户是现代公司最重要的利润来源,通过有效的管理维护好大客户,利用大数据的方法,进一步挖掘更多的大客户,是提升集装箱码头公司管理和服务水平的关键。随着计算机技术的不断发展,数据已经成为企业核心的资源之一,现代集装箱物流产生的数据量非常庞大。从海量的数据中挖掘有效资源,通过专用的数据分析模型,提升大客户管理的质量和水平,从而实现集装箱码头公司吞吐量和利润的增加。本文着重分析了大数据在集装箱码头公司大客户管理中的重要性,并从数据资源的整体开发角度,构建了集团公司层级的顶层数据相关职能构架。在具体应用方面,通过某公司创造性地在局部领域和关键环节运用大数据方法,从物流便捷程度,成本控制和相关项目合作共赢等方面有效改善了大客户体验,提升了企业竞争力,改善现有大客户服务的同时,从周边港口发掘了新的大客户。随着经济发展持续低迷和码头公司的增多,集装箱装卸服务行业的买卖双方市场地位已发生根本改变。大数据和大客户已经成为企业在当前和今后相当长一个时期内的核心的资源,找到两种资源的最佳结合方式会被越来越广泛地运用到日常管理中,通过数据分析方法进一步提升集装箱物流企业的核心竞争力。
[Abstract]:With the deepening development of reform and opening up, port resources, as an important support of regional economic development, have quickly become the hottest investment projects. Due to the lack of overall planning, regional duplication of construction is serious. As the world economy continues to decline, the global logistics increment is very limited, and the throughput of each port group has been eroded by the emerging container terminal companies in the surrounding areas to varying degrees. In this environment, we must make full use of our own existing data resources, and re-grasp the market initiative by improving the quality and level of key customer management. Large customer is the most important profit source of modern company. It is the key to improve the management and service level of container terminal company. With the continuous development of computer technology, data has become one of the core resources of enterprises, and the amount of data generated by modern container logistics is very large. By mining the effective resources from the massive data and using the special data analysis model, the quality and level of the large customer management can be improved, and the throughput and profit of the container terminal company will be increased. This paper analyzes the importance of big data in the management of large customers in container terminal company, and constructs the top-level data related function framework of the group company from the perspective of the overall development of data resources. In the specific application aspect, through a company creatively using the big data method in local areas and key links, it can effectively improve the experience of big customers from the aspects of logistics convenience, cost control and win-win cooperation of related projects, etc. Improve the competitiveness of enterprises, improve the existing customer service, from the surrounding port to explore new major customers. With the continuous downturn of economic development and the increase of terminal companies, the market position of both buyers and sellers in container handling service industry has been fundamentally changed. Big data and major customers have become the core resources of the enterprise at present and for a long time to come. Finding the best combination of the two resources will be more and more widely used in daily management. Through data analysis method to further enhance the core competitiveness of container logistics enterprises.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F274;F552.6

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