China's vigorous development of intelligent manufacturing is the only way to achieve high-quality development in physical manufacturing.
China's industrial Internet and intelligent manufacturing have developed rapidly in China for three years. How to embrace smart manufacturing, companies in various industries have made a lot of enthusiasm efforts, and have done a lot of trials and verification. The author is mainly engaged in the top-level architecture planning and implementation of the industrial enterprise intelligent manufacturing upgrade process. He was responsible for a number of group-level large-scale intelligent manufacturing projects, responsible for the entire process of intelligent manufacturing projects from top-level design to implementation, enriching large-scale projects ( Set) management and integration experience, comprehensive system project control and delivery capabilities. Discuss with friends the ability system and comprehensive literacy measurement dimension and evaluation indicators of the overall structure of China's intelligent manufacturing sector. Looking at the experience for many years, I suddenly shared my thoughts with you, and I forgot to see you. In these four ways, an intelligent manufacturing top-level design leader is required to be responsible for the promotion of enterprise intelligent manufacturing. This article is mainly about the ability requirements of the intelligent manufacturing person in charge when setting up the independent business department. The ability requirements of the smart manufacturing person in charge mentioned below refer to the ability requirements of the intelligent manufacturing person in charge of the independent business department, and will not be described again. Other types can be adjusted on this basis. Personally, the person in charge of enterprise intelligent manufacturing needs two major abilities and qualities. First, it has the thinking of business strategy. Second, it has accumulated a variety of mature intelligent manufacturing framework models. described as follows: Smart manufacturing is a set of systems, a system used to enhance the competitiveness of the enterprise market. For a simple example, why does the apparel industry vigorously study large-scale personalization? Because the market has a wide range of needs, you don't take the custom route, you can compete with the opponent in the market, so many companies in the entire clothing market take the path of mass customization. However, it should be noted that each company can survive in the market and must have its own core competitiveness. What kind of system or structure should be used firstly needs to be analyzed at the enterprise management level. Including: where are the market segments; how are the market segments; where are the current advantages of the company; how to maintain the shortcomings; how to develop other market segments; which competitors are in other market segments; What advantages are needed in the market? The difficulty of building a framework from scratch and the revision of the mature framework to suit the needs of the enterprise are completely two levels of comparison. Building from scratch will face a lot of trial and error costs, resulting in a significant drop in the input-output ratio of the entire project. In the era of ERP, some companies said that they would not die on ERP and go to ERP to find death. The same is true in the era of smart manufacturing. Part of the reason behind this is that it is too costly to build the system from scratch in the process of promoting the process, or even if the external team has a mature structure, it will be dead. Since the smart manufacturing promotion for 3 years, many companies have tested the water and have formed a relatively mature series of frameworks. Here to introduce to you "eight typical models of intelligent manufacturing", you can click on the link in front of the Huazhong intelligent public number to learn more. After analyzing 109 smart manufacturing pilot demonstration projects, we have summarized 8 typical models. On the basis of familiarity with the eight models, according to the needs of the previous business strategy, choose the appropriate model for combination and adjustment, and form the prototype of the manufacturing framework of the enterprise. Remember not to find a hard case. In the field of consumer goods such as clothing, textiles, home appliances, and home appliances, we have explored a large-scale personalized customization model that is designed to meet the individual needs of users. The main practice is to realize product modular design, build product personalized service platform and personalized product database, and realize the coordination and integration of customized service platform and enterprise R&D design, planning and scheduling, supply chain management and after-sales service. In the field of equipment manufacturing such as aviation equipment, automobiles, ships, construction machinery, etc., we have explored the formation of a digital life-cycle integrated model with a shortened product development cycle as the core. The main practice is to apply product definition (MBD) technology for product development. Building a product lifecycle management system (PLM), etc. In the fields of casting, clothing, etc., we have explored the mulberry manufacturing model that responds quickly to diversified market demands. The main practice is to realize the simultaneous processing of multiple products/parts in the production line, the automatic logistics of the workshop logistics system, and the construction of advanced scheduling systems ( APS), and achieve efficient coordination and integration between industrial control systems, manufacturing execution systems (MES), and enterprise resource planning systems (ERP). In the fields of petrochemical, steel, electronics, home appliances, etc., the main practice of interconnecting the factory model with the “information island†as the core of enterprise operation is to apply the Internet of Things technology to realize the identity identification of products and materials. The production and logistics equipment have data. Functions such as acquisition and communication have built production data acquisition systems, manufacturing execution systems (MES) and enterprise resource planning systems (ERPs) and achieved synergy and integration between these systems. In the fields of food and pharmaceuticals, we have explored the product life cycle traceability model with quality control as the core. The main practice is to have unique identification of products throughout the life cycle, and to apply automatic acquisition quality of sensors, intelligent instrumentation, industrial control systems, etc. Manage the required data, and conduct online quality inspection and early warning such as quality judgment and process judgment through the MES system. In the petrochemical, nonferrous and steel industries, the whole process of energy optimization management mode with the utilization of energy resources as the core is explored. The main practice is to collect energy efficiency data of key equipment and energy supply in the production process through MES to build energy. The management system (EMS) or MES has an energy management module that optimizes production processes, equipment, energy supply, and personnel based on real-time collected energy data. In the fields of aerospace, automobile, etc., we have explored a network collaborative manufacturing model with supply chain optimization as the core. The main practice is to build a cross-enterprise manufacturing resource collaboration platform to realize the integration and docking of R&D, management and service systems among enterprises. The company provides R&D design, operation management, data analysis, knowledge management, information Security and other services, and carries out dynamic analysis and flexible configuration of manufacturing services and resources. In the fields of petrochemical, steel, electronics, home appliances, etc., the main practice of interconnecting the factory model with the “information island†as the core of enterprise operation is to apply the Internet of Things technology to realize the identity identification of products and materials. The production and logistics equipment have data. Functions such as acquisition and communication have built production data acquisition systems, manufacturing execution systems (MES) and enterprise resource planning systems (ERPs) and achieved synergy and integration between these systems. China is a big manufacturing country, but it is not a manufacturing power. Take the textile and garment industry as an example. Last year, China’s textile and apparel exports accounted for 36.8% of the total global textile and apparel trade, but the manufacturing level was at best the same level in Europe. In my opinion, the future development of the manufacturing industry must be deeply integrated with emerging technologies such as the Internet, big data, and artificial intelligence, and take the road of intelligent manufacturing. Furniture Zinc Alloy Die Casting Furniture Zinc Alloy Die Casting,Die Aluminium Zinc Casting,Black E Cigarette Charger Casting,Power Tool Aluminum Housing Dongguan Metalwork Technology Co., LTD. , https://www.dgdiecastpro.com
In terms of promoting organizational deployment alone, the internal organization form and the external resource form of the enterprise can be divided into four ways using matrix diagrams.
Chinese enterprises need to pay attention to the technology research and development of enterprises, use new technologies, and promote smart manufacturing in the production process. The development of intelligent manufacturing not only meets the inherent requirements of China's manufacturing industry, but also is an inevitable choice for reshaping China's new manufacturing advantages and achieving transformation and upgrading. Vigorously developing smart manufacturing is the only way to achieve high-quality development in physical manufacturing.