Data-driven transformation of manufacturing enterprises
发布时间：2020-06-19
Now the world has entered the era of data explosion, data has become one of the most important assets of enterprises, is the basis of intelligent manufacturing. With the development and application of various data collection, collation and analysis related technologies, the value of data has been gradually reflected in many aspects and more and more enterprises pay attention to it. The core value of data in manufacturing enterprises is highlighted.
In the field of product design and development, enterprises can build Digital Twin (Digital Twin model) of products by implementing model-based product definition (MBD), and build data supply chain by delivering Digital Twin of products at the same time of delivering physical products. Maximize the use of existing design results, design reuse. In addition, companies can build their own library of 3D parts, for which there are complete solutions on the market, such as Germany's CADENAS. With the wide application of social media, enterprises can also optimize their product innovation design based on the feedback of social big data, so as to make product design more close to the needs of customers.
Data can drive the product research and development, production, procurement and other business processes of modern manufacturing enterprises. For example, customer requirements can be described through structured data and associated with product data to manage the data of the entire product life cycle, such as product structure, assembly relationship, manufacturing process and product configuration. Throughout the product life cycle, data from customer requirements to conceptual design, detailed design, process design, simulation test, manufacturing and after-sales service should be fully integrated and accurately expressed through the structure tree. In this way, if there is a change in customer requirements, the impact on the product structure and subsequent manufacturing and services can be traced. Effective management of enterprise-level BOM is to realize design reuse, improve r & D efficiency, and realize
