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How should enterprises promote the road of intelligent manufacturing

specific to the implementation level of enterprises, how should intelligent manufacturing be promoted? The answer may be to develop an intelligent manufacturing road based on industrial IOT, which can absolutely meet the needs of customers, with data collection and utilization as the means, management innovation as the core, lean and flexible manufacturing as the goal, and integration and collaboration as the direction

in the manufacturing industry, intelligent manufacturing is the development direction of manufacturing automation, and intelligent manufacturing technology has been applied in many links of the manufacturing industry. The improvement of product performance and the complexity and refinement of its mechanism as well as the diversification of its functions have promoted the implementation of intelligent manufacturing. The amount of design information and process information contained in products has soared. With the increase of information flow in production lines and production equipment, the amount of information in manufacturing process and management work is bound to soar. Therefore, the hot spot and frontier of manufacturing technology development have shifted to improving the processing capacity of manufacturing systems for manufacturing information In terms of efficiency and scale, therefore, many enterprises systematically follow the trend of intelligent manufacturing to improve their operations

then, specific to the implementation level of enterprises, how should intelligent manufacturing be promoted? The answer may be to find a way of Intelligent Manufacturing Based on industrial IOT, with data acquisition and utilization as the means, management innovation as the core, lean and flexible manufacturing as the goal, and integration and collaboration as the direction

the introduction of advanced management concepts is to improve the integrated, lean and flexible manufacturing capacity of the whole process. The ultimate goal of taking measures such as implementing equipment networking transformation, improving the rate of automatic data collection, deploying industrial software, and carrying out the integration of physical systems and information systems is not only to improve the level of production automation and realize the replacement of people by machines, but also to comprehensively implement advanced management concepts such as lean production with the core of optimizing production pace, improving production efficiency, reducing inventory, controlling cost waste, and improving product quality, Improve the integrated, lean and flexible manufacturing capacity of the whole process

introduce advanced management concepts, including optimizing production planning and scheduling management with the help of APS advanced scheduling model, and solve the problems of previous extensive production organization management and insufficient flexibility of production planning; Use the data directly collected from the equipment to monitor the production progress and equipment status in real time; Through the CPK (process capability index) calculation and analysis of the real-time process parameters of the equipment, carry out statistical process control to control the product quality from the source and prevent the production of unqualified products; Use bar code, QR code, RFID and other technologies to improve the information collection efficiency of raw materials in all links, and provide accurate data for production organization, logistics management, cost accounting, etc; Based on the data collected in real time, carry out OEE (comprehensive efficiency of equipment) analysis, carry out ie (Industrial Engineering) management more accurately, and implement the comprehensive production process optimization of "man-machine, material, method and environment"

for enterprises, the integration of internal and external resources is to realize the integration and collaboration of value networks with the help of advanced technology, so that production can be adjusted according to the adjustment of market demand

the core of intelligent manufacturing is to make full use of advanced technologies such as automation, informatization, interconnection, IOT, artificial intelligence, etc. with the help of CPS information physical system, closely connect the enterprise's equipment, production lines, materials, employees, suppliers and customers, comprehensively manage and deepen the application of data as a new production factor, and comprehensively promote the digitization, networking, and integration of information in business flow, capital flow, and logistics The development of integration, and constantly improve the level of automatic collection, processing, analysis and utilization of the whole process from data to information to knowledge, so as to optimize the allocation of enterprise resources, improve management efficiency, enhance enterprise competitiveness, and provide customers with differentiated, end-to-end production and services

facing this situation, enterprises first need to carry out networking transformation, including making full use of the communication interface of digital equipment, installing sensors and controllers on automation equipment, and taking advantage of wired or wireless network access technology according to local conditions, building industrial interconnection covering the whole process and all kinds of production, detection and logistics equipment, and fully collecting a large amount of data and image information generated in the manufacturing process, So as to create conditions for centralized monitoring, remote control and collaborative manufacturing of equipment

in addition, for the logistics management in the production process, it can be considered to collect the real-time consumption and inventory data of raw and auxiliary materials and products in process by means of bar code identification or centralized material supply and automatic measurement, so as to realize the "JIT" accurate supply of materials and real-time cost accounting in the whole process of production in the process of lean production management

at present, financial management software has been widely used in domestic manufacturing enterprises, and ERP (enterprise resource management system) and OA (automated office system) have also been popularized. However, the information application in product and process design, production and manufacturing, equipment management, warehousing and logistics management, quality management and other aspects has not been popularized, nor has the information flow channel between equipment monitoring and operation level, production and operation management and control level, and enterprise management and decision-making level been fully opened, a large number of data have not been effectively collected, developed and utilized, and information transmission is not timely. On site management mainly depends on the experience of managers, The management level is far from being digital, scientific and refined

in this regard, enterprises need to develop and deploy DCS (distributed control system), SCADA (data acquisition and monitoring control system), APC (Advanced Control System) and other industrial control systems at the monitoring and operation level on the basis of equipment joint transformation; Develop and deploy MES (Manufacturing Execution System), APS (Advanced Planning and scheduling system), EM (equipment management system), cad/cae/capp (computer aided design/Engineering/process planning), plm/pdm (product life cycle/Product Data Management), LIMS (quality management system), WMS (storage management system) and other information systems at the production and operation level; Deploy ERP, SCM (Supply Chain Management), CRM (Customer Relationship Management) and other systems at the business decision-making level. Through data interface, middleware, data bus, ESB (Enterprise Service Bus) and so on, we can realize the integration from the equipment level to the decision-making level, eliminate the information island, and ensure the full processing and utilization of enterprise big data, so as to build a digital factory

intelligent manufacturing is the deep integration of informatization and industrialization. Jimeiguan carbon nanotubes also have other good properties such as optics and hydrogen storage. It is these good properties that make carbon nanotubes considered as an ideal reinforcement of polymer composites and more powerful functions. It is not only the introduction and innovation of advanced it, OT and other technologies, but also the innovation of enterprise management and mode. Looking back on the transformation and upgrading of domestic manufacturing enterprises in the past three decades of reform and opening up, it should be said that automation and information construction have developed rapidly, but from the perspective of global market competition, there are still problems such as insufficient high-end capacity, overcapacity in the middle end, and the weakening competitive advantage of low-end capacity. Simply emphasizing technology and ignoring management may be one of the reasons. Therefore, intelligent manufacturing should be based on technological innovation and centered on management innovation

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