Research On The Construction Of Manufacturing Whole Value Chain Collaborative Management Model Driven By Data Intelligence

The mainstay of the real economy is the manufacturing sector,which is deemed to be the engine and backbone of national economic growth.In the context of Industry 4.0,innovation and transformation of the traditional manufacturing industry is being increasingly emphasized.Many activities in the daily operations of the manufacturing industry generate data,such as raw material and product supply,marketing strategy research and after sales service,which generate a huge amount of data.Numerous complex business cost value added relationships are hidden in the data.By studying the data of different businesses in the whole value chain of the manufacturing industry and deeply analyzing the characteristics and correlation of the data of each part,and enterprise decisions with reference value are obtained.However,because of the lack of dynamic,real-time data,enterprises have a lag in performing real-time value-added analysis and work deployment,which poses a challenge to digital transformation in manufacturing enterprises.This paper explores the whole value chain of the manufacturing industry.Firstly,a collaborative management solution for digital innovation in manufacturing enterprises is given.Then,based on this solution,a data intelligence-driven mathematical-data hybrid model for the whole value chain of the manufacturing industry is proposed.Finally,a collaborative information management system for the whole value chain of the manufacturing industry with microservice architecture is designed.In this way,a certain gap in the manufacturing industry,where real-time data cannot be collected in a timely and efficient manner for effective analysis is filled.It provides a solution for the digital and intelligent transformation of the manufacturing industry.Based on the national key research and development program project,this paper researches theories,models,methods,and technologies for data intelligence-based collaboration across the manufacturing value chain.The main contents of this dissertation are as follows.(1)The sources and ways of cooperation in general manufacturing value chains are explored for both horizontal and vertical corporate value chains.The collaboration needs of the whole value chain in manufacturing are studied,firstly considering the business complexity and work focus of different levels of the whole value chain,then combining the process of enterprise collaboration management and data role,and finally proposing a model architecture for collaboration management of the whole value chain in manufacturing.(2)The data sources and characteristics of the manufacturing industry and the content of collaborative management are analyzed,and then combining the advantages of precise definition parameters of the mechanism model and simple and clear data model relationships,a mathematical-data hybrid model for collaborative management of the whole value chain in manufacturing is finally constructed.On the one hand,a cost and value-added time mathematical model is established based on the business composition characteristics of the supply chain,marketing chain and service chain in the full value chain.On the other hand,a data model for collaborative management of the whole value chain in the manufacturing industry is established,and a data-driven decision-making mechanism for the supply chain,marketing chain and service chain is proposed with the help of data intelligence-driven decision-making theory.(3)According to the collaborative management model and enterprise needs,the thesis builds a collaborative data and information management system for the entire value chain that integrates supply,marketing and service in the manufacturing industry.Data transfer is completed through the interface to achieve real-time data maintenance,and data visualisation and analysis are completed using the components to provide relevant suggestions for enterprise decision-making based on real-time data.This thesis proposes a data intelligence-driven mathematical-data hybrid model for collaborative management of the whole value chain in manufacturing industries,combining the advantages of mathematical model and data model to address the needs of collaborative information management in manufacturing enterprises.The model is centralised into a collaborative management system to form one of the web-based collaborative manufacturing digital suites,which accelerates the ease and efficiency of access to different business information and enhances the value-added capabilities of the enterprise.