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New Energy Vehicles + Flexible Intelligent Manufacturing = ?
= Achieve smart manufacturing faster
The success of an automation project and a smart factory project depends on a well-developed IT system. A mature IT system means that the company's business processes are relatively complete, and it is easier to build automation projects or application system changes on this basis.
Many new energy vehicle companies have a significant advantage in this regard, their IT systems are relatively mature and complete, and they can promote automation projects more smoothly and lead the continuous transformation of application systems.
At present, Hikrobot has helped well-known new energy vehicle brands such as Weilai, Xiaopeng, Ideal, Celis, Zeekr, Aion, Lotus, Hongqi, Wuling, Xiaomi, Qiyuan, and AVATR to implement intelligent manufacturing in workshops such as punching, welding, coating, total, and three electrics.
= Smarter decision-making
Data collection and analysis: Machine vision and mobile robots produce real-time data during production and operation, and analyze this to quickly identify improvement points to improve production efficiency.
Decision-making model construction: With the help of machine learning and artificial intelligence algorithms, decision-making models can be established, such as predicting output and optimizing scheduling, to assist enterprises in formulating more reasonable production plans.
Optimal allocation of resources: Through real-time monitoring and management of resources, human, material and financial resources can be effectively allocated, waste can be reduced, and resource utilization can be improved.
Risk management and early warning: It can help enterprises predict potential risks and problems in real time, issue early warnings, and take timely measures to avoid losses.
= More flexible production mode
All-round intelligent perception: Machine vision technology realizes intelligent identification and precise operation on the production line, and improves flexible production capacity.
Intelligent production line: Through the main line to complete the line heavy-duty AMR, sub-assembly line AMR, the production line can monitor product quality in real time, optimize production parameters, and flexibly deal with various problems.
Efficient logistics management: The deployment of a variety of full-process workshop-level AMRs can achieve transparent logistics management, ensure the timeliness and accuracy of raw material supply of 100%, and support the peak cycle time of up to 60JPH.
Innovative production mode: The innovative "island" production mode not only greatly reduces manpower investment, but also can meet the personalized customization needs of users.
= Easier to deploy
According to the characteristics of the automotive industry, the warehousing and logistics collaboration platform ensures the feeding beat of each station through sequencing and pulling, line-side circulation, and direct supply and delivery lines.
The software platform adopts the low-code model, and flexibly responds to customized needs in the way of "flexible configuration + low-code development", quickly responds to business changes, and facilitates users to develop digital and intelligent systems for the second time.
Focusing on the three aspects of the project before, during and after delivery, a series of system supporting tools have been developed to help improve the efficiency of project delivery.
= Stronger market competitiveness
In 2023, Li Auto, NIO, and Xpeng Motors delivered 376,000, 160,000, and 142,000 units, respectively, a year-on-year increase of 182.2%, 30.7%, and 17.3%, all of which achieved an increase of more than 17%.
The market demand is strong, but at the same time, it also puts forward higher requirements for production capacity, and flexible intelligent manufacturing will become one of the main challenges faced by new energy vehicle manufacturing.
Using the advanced intelligent technology and management means in flexible intelligent manufacturing, it can realize multi-variety, small-batch personalized customized production.
This manufacturing model allows enterprises to improve production efficiency, shorten delivery cycles, reduce production costs, and enhance market competitiveness while meeting the personalized needs of consumers.
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