论工业大数据时代下传统企业的转型与创新

XCLW55083  论工业大数据时代下传统企业的转型与创新  (字数：7452)

中文摘要

大数据目前正在以飞快的速度渗透到我国的各领域中，在我国传统制造型企业中，以工业大数据为核心的第四次工业革命，也在逐步的展开，不断呈现出新的技术、产品、服务和业态。本文在查阅整理有关大数据文献的基础上，针对工业大数据的定义、特点、现状、价值进行阐述，并结合我国传统制造型企业在新形势下，转型升级和业务创新所面临的问题，根据企业自身实际需求出发，给出“制造+物联网” 的管理转型模式和“制造+互联网”的业务创新模式两条实施路径，为企业在“中国制造2025”的改革浪潮中，寻求转型发展和业务创新提供解决对策。

同时，大数据也是是自动化，信息化，数字化，互联互通和智能化时代的精髓。工业革命允许传统工业公司根据从自动化和信息系统收集的数据对其生产和运营进行深入的见解和优化。但是，大多数传统工业企业在大数据时代尚未找到合适的切入点，导致管理转型和业务创新的发展，这对公司的持续发展和新市场的核心产生了重大影响。竞争力。

关键词：工业大数据 工业4.0  智能制造  转型 创新

abstract

At present, big data is infiltrating into various fields of our country at a rapid speed. In the traditional manufacturing enterprises of our country, the fourth industrial revolution with industrial big data as the core is also gradually developing, constantly showing new technologies, products, services and formats. On the basis of consulting and sorting out the literature about big data, this paper expounds the definition, characteristics, present situation and value of industrial big data, and combined with the problems faced by the transformation, upgrading and business innovation of traditional manufacturing enterprises in China under the new situation, according to the actual needs of the enterprises themselves, puts forward the management transformation mode of "manufacturing Internet of things" and the "manufacturing Internet of things". The two implementation paths of business innovation mode provide countermeasures for enterprises to seek transformation and development and business innovation in the reform wave of "made in China 2025".

At the same time, big data is also the essence of the era of automation, information, digitization, interconnection and intelligence. The Industrial Revolution allowed traditional industrial companies to gain insight and optimize their production and operations based on data collected from automation and information systems. However, most traditional industrial enterprises have not found a suitable entry point in big data era, which leads to the development of management transformation and business innovation, which has a great impact on the sustainable development of the company and the core of the new market. Competitiveness.

Key words: industrial big data Industrial 4.0 Intelligent Manufacturing Transformation and Innovation

目录

绪论10

一、国内外传统企业的发展现状11

（一）国外企业现状11

（二）国内企业现状11

二、工业大数据对传统企业的价值12

（一）提质增效12

（二）业务创新12

（一）传统企业转型的意义13

（二）传统企业创新的意义13

四、传统企业转型与创新的内容13

（一）资源配置优化13

(二)运营模式优化13

(三)管理改善.13

(四)技术进步14

(五)企业转制14

(六)企业转行14

(七)企业战略转换14

五、传统企业转型与创新的思维14

(一)智能制造思维14

(二)互联网思维14

六、传统企业转型与创新面临的问题 15

(一)信息化水平低15

(二)缺乏对数据化的合理利用15

(三)产业链融介度低15

七、传统企业转型与创新的模式与路径15

（一）实施模式15

(1)“制造+物联网”的管理转型模式16

(2) “制造+互联网”的业务创新模式16

（二）实施路径16

八、结论16

参考文献：17