Customized production and sales through train
Smart Technology · Interactive
- DimensionsSubject to on-site plan
- PresentationInteractive
- PricingQuoted by manufacture spec
Purpose & Scientific Principle
Through the looping data screen, you can view the production forecast made by the intelligent manufacturing digital twin technology through the platform algorithm, display the clothes ordered by the AR fitting mirror, and view the planning and scheduling data screen of the clothing production and marketing integration, allowing the audience to feel the huge changes that future digitalization will bring to people's production and life through the integration of production and marketing.
How to Operate
(1) The platform algorithm helps the integration of production and marketing, allowing front-end and back-end data to resonate at the same frequency.
(2) The intelligent manufacturing system empowers the industrial model.
Overall planning of production and marketing - the upstream raw material supply chain link is filtered through the large database of the digital twin platform, and the real-time dynamics and historical data of the market, including dynamic change information of the futures market, are imported into the algorithm to form relatively accurate forecast information to guide back-end production.
produce. Combine the two dimensions of real-time orders and raw material forecasts to rationally arrange back-end production and preparation. Front-end and back-end interconnection and data sharing have been formed, unleashing the value of digitalization.
The production and marketing demand planning system and advanced planning and scheduling system open up the interfaces of various information systems and combine with the construction of cloud data centers to realize the coordinated operation of supply, production and marketing, and promote digital, networked, intelligent, and service-oriented transformation and upgrading. The integration of production and marketing can greatly shorten the R&D cycle, realize real-time information sharing and collaboration between R&D departments in different locations, and facilitate inquiry and technology accumulation. In terms of supply and demand, it can achieve synchronous assessment and planning of supply and demand plans, and improve sales demand forecasting capabilities. In terms of production arrangements, it can achieve effective collaboration among multiple production bases and quickly respond to demand changes.
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