大数据背景下吉林省服装企业发展策略的研究

发布时间：2018-06-10 06:12

本文选题：大数据 + 发展策略　；参考：《吉林大学》2017年硕士论文

【摘要】：随着互联网技术的不断发展,人类进入了一个拼“数据效益”的时代,大数据带来的商业价值和科学价值不可估量。企业通过对商品销售记录的分析来进行货品库存管理并制定销售计划;科学家利用先进的仪器记录实验数据得出先进的科研成果;医院的医疗仪器通过医疗记录能够更好的观察病人的病情,这些都是大数据为人类带来的福利。对大数据的分析和有效利用已经成为各行各业竞争的一部分,服装产业的发展更是离不开大数据技术的支持。人们对大数据的理解可能还停留在“大”这个量词上,如今不仅仅是以量取胜的竞争形式,更为重要的是大数据传递出来的信息,它能够用来解释某种现象,说明一些问题,也能用来进行决策分析。本文以大数据技术的实际应用为背景,阐述国内外服装产业发展的现状及发展趋势;通过对吉林省服装企业发展现状进行分析,指出吉林省服装企业发展中存在的问题。在对大数据相关的基础知识熟练掌握的基础上,依据大数据的分析技术与应用提出吉林省服装企业发展的建议与对策。吉林省作为发展重工业的老基地,其轻纺工业一直都比较落后,纺织服装产业在发展过程中存在以下问题:纺织面辅料市场不健全;服装行业高质量人才短缺;缺乏知名的自主品牌;贸易壁垒阻碍出口贸易;省内各市之间的发展不平衡等。通过对这些问题进行分析,提出有益于吉林省服装企业发展的建议与对策。首先从改善吉林省服装实体企业综合能力的角度提出发展策略,例如:加强纺织面料市场建设,特别是网上纺织商城的建设;开拓市场,丰富企业的产品种类;服装企业通过引进先进的生产设备来提高服装产品的质量;培养企业的创新意识,提升品牌建设的能力;建立规模化的产业园区,实施集群式产业发展战略;推进校企联合策略,促进产、学、研相结合;积极应对贸易壁垒。然后结合大数据技术在产业领域中的应用,提出大数据战略,主要包括:开展电子商务;建立信息交流平台、完善客户信息管理系统;改善库存管理,降低库存压力。
[Abstract]:With the continuous development of Internet technology, mankind has entered an era of "data efficiency", and the commercial and scientific value brought by big data is inestimable. Enterprise through the analysis of commodity sales records to carry out inventory management and make sales plans; scientists use advanced instruments to record experimental data to obtain advanced scientific research results; Hospital medical equipment can better observe the patient's condition through medical records. These are the benefits of big data. The analysis and effective use of big data has become a part of competition in all walks of life, and the development of garment industry is inseparable from the support of big data technology. People's understanding of big data may still remain in the quantifier "big", not only in the form of winning by quantity, but more importantly, the message from big data, which can be used to explain certain phenomena and explain some problems. It can also be used for decision analysis. Based on the practical application of big data technology, this paper expounds the present situation and development trend of garment industry at home and abroad, and points out the problems existing in the development of garment enterprises in Jilin Province through the analysis of the present situation of the development of garment enterprises in Jilin Province. On the basis of mastering the basic knowledge of big data, the suggestions and countermeasures for the development of garment enterprises in Jilin Province are put forward according to the analysis technology and application of big data. As an old base for developing heavy industry, Jilin Province has been lagging behind in light and textile industry. The following problems exist in the development of textile and garment industry: the imperfect market of textile surface accessories, the shortage of high-quality talents in garment industry, and the shortage of high-quality talents in textile industry. Lack of well-known independent brands; barriers to trade barriers to export trade; development imbalance between cities in the province and so on. Based on the analysis of these problems, suggestions and countermeasures are put forward for the development of clothing enterprises in Jilin Province. First of all, from the point of view of improving the comprehensive ability of garment entity enterprises in Jilin Province, the development strategies are put forward, such as strengthening the construction of textile and fabric market, especially the construction of online textile mall, opening up the market and enriching the product types of enterprises; Clothing enterprises improve the quality of clothing products by introducing advanced production equipment, cultivate the innovation consciousness of enterprises, promote the ability of brand building, establish large-scale industrial parks, and implement cluster industrial development strategy. Promote the joint strategy of schools and enterprises, promote the combination of industry, learning, and research; actively deal with trade barriers. Then combined with the application of big data technology in the field of industry, the paper puts forward the big data strategy, which mainly includes: developing electronic commerce, establishing information exchange platform, perfecting customer information management system, improving inventory management and reducing inventory pressure.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.86

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