The current wave of digital transformation has arrived, and the deepening application of digital technology will have a profound impact on the business models, operations, decision-making methods, organizational forms, and other aspects of enterprises. Digital transformation has become a necessary path for the development of the manufacturing industry. With the explosive growth of new generation information technology and its integration into the construction process of intelligent manufacturing in enterprises, enterprises in various industries have carried out a large number of intelligent manufacturing practices and applications in recent years and achieved fruitful results. As a leading enterprise in the field of digital services for domestic enterprises, SIE Information has shared and discussed with experts, IT builders, market personages, etc. in the national manufacturing field through the form of cloud live broadcast in combination with its own application practices in many industries and customer enterprises.
Before the guests shared the theme, Liu Weichao, Vice President of SIE Information and President of Product Resource Center, first analyzed the current industry trend: the informatization of Chinese enterprises has shifted from the ERP centered construction stage to the intelligent manufacturing centered construction stage. In the past five years, enterprises in various industries have carried out a large number of intelligent manufacturing practices and applications, and have achieved fruitful results. A series of new information technologies such as artificial intelligence, big data, and 5G have also achieved explosive growth and integrated into the construction process of enterprise intelligent manufacturing. In this context, SIE Information will continue to empower the digital transformation of enterprises and support the digital transformation of enterprises.
This cloud live broadcast focused on exploring the digital transformation of manufacturing industry, digital asset management of enterprises, enterprise information architecture and continuous optimization of agile delivery, and intelligent supply chain in four different directions.
Li Wenxian, senior director of intelligent manufacturing of SIE, first proposed that with the digital transformation of the consumer market, today's manufacturing production has gradually transformed from product production to customized production according to customer needs, and product value has become the primary factor in market selection, so it is necessary to integrate all kinds of data. The combination of digital technology and business has become an inevitable driving force for the transformation and upgrading of manufacturing enterprises. Cai Shenglong, Vice President of SIE and General Manager of Industrial Internet Subsidiary, believes that in the process of digital transformation of manufacturing enterprises, the stable operation and efficient collaboration of equipment will directly determine the level of production efficiency, so it is very important for enterprises to shift their manufacturing model to comprehensive asset management. To this end, SIE proposed a five level maturity model for asset management. From five aspects of enterprise equipment management awareness or application scenarios, benefits, shortcomings, strategic considerations and required technical support, it divided into five levels: passive maintenance, planned maintenance, condition based maintenance, prediction based maintenance, and specification based maintenance. Upgrade the process system to a digital system. Assist manufacturing enterprises in achieving comprehensive digital asset management.
As for the enterprise information architecture in the era of Intelligent Manufacturing 4.0, which must be considered by enterprises when carrying out digital transformation, Shao Ruoming, the general manager of SIE Information Shanghai Jingtong subsidiary, believes that the development trend of enterprise information systems is to integrate with a wider range of automation and intelligence fields, so the label of the fourth generation of intelligent enterprise suite is a decentralized and continuous iterative architecture for multi platform collaboration. For this purpose, SIE has established an agile delivery and iterative development model based on the fourth generation enterprise information system architecture, providing an end-to-end service management process system that can support large-scale high-quality agile development delivery. Through a complete delivery system, it supports end-to-end delivery of management products and helps enterprises establish a fast service response system for the fourth generation architecture.
