25A-D043N114 The large-scale personalized customization model is mainly applied to consumer goods such as clothing, textile, home furnishing, and household appliances. Through product modular design, the construction of product personalized customization service platform and personalized product database, customized services are realized.
6. Remote operation and maintenance service – Improve the level of equipment/product operation and maintenance service
The connected factory model is mainly used in petrochemical, steel, electronics, home appliances and other fields, using the Internet of Things technology to build production data acquisition system, manufacturing execution system (MES) and enterprise resource planning system (ERP), and open up the “information island” in enterprise operations.
7. Network collaborative manufacturing – supply chain upstream and downstream collaborative optimization
Network based collaborative manufacturing mode has been widely used in aerospace and automotive manufacturing. This mode focuses on the optimization of supply chain, builds a cross-enterprise manufacturing resource cooperation platform, realizes the integration and connection of R&D, management and service systems between enterprises, and performs dynamic analysis and flexible configuration of manufacturing services and resources.
8. Digital integration of product life cycle to shorten product development cy25A-D043N114 cle
Product life cycle digital integration model is mainly used in aviation equipment, automobiles, ships, construction machinery and other equipment manufacturing fields, through (MBD) product development technology, full life cycle management system (PLM) and other means to achieve the core purpose of shortening product development cycle.
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Ten key technologies
1. Smart Decision Making
In the process of operation, enterprises generate a large amount of data, such as contracts, payments, ex25A-D043N114 penses, inventory, cash, products, customers, investment, equipment, output, delivery time, etc. These data are usually structured data, which can be analyzed and predicted in multiple dimensions. This data can also be used to refine enterprise KPIs and compare them to preset targets.
2. Smart Management
The core operation management systems of manufacturing enterprises include human asset management system (HCM), customer Relationship management system (CRM), Enterprise Asset management system (EAM), Energy management system (EMS), supplier Relationship management system (SRM), enterprise portal (EP), business process management system (BPM), etc. To realize intelligent management and intelligent decision-making, the most important condition is the accuracy of basic data and the seamless integration of main information systems.
3. Smart logisTIcs and SCM
Manufacturing enterprises in the procurement, production and sales process will be accompanied by the flow of materials, so more and more manufacturing enterprises began to pay attention to production automation, logistics automation has been more and more attention, which automated three-dimensional warehouse, unmanned guided car (AGV) and intelligent hanging system have been widely adopted and used; And in the manufacturing enterprises and logistics enterprises logistics center, intelligent sorting system, stacking robot, automatic roller table system has been more and more widely used. WMS (Warehouse Management System, warehouse Management System) and TMS (Transport Management System, transport management system) are also widely concerned by manufacturing enterprises and logistics enterprises.
4. Smart R&D
Research and development is very important for intelligent manufacturing enterprises. To develop intelligent products, enterprises need multi-disciplinary cooperation of mechanical and electrical software. To shorten the product development cycle, it is necessary to deeply apply simulation technology, establish virtual digital prototype, realize multidisciplinary simulation, and reduce physical test through simulation. It is necessary to implement the idea of standardization, serialization and modularization to support mass customer customization or product personalized customization; It is necessary to combine simulation technology with test management to improve the confidence of simulation results.
