Unmanned warehouse technology and innovation, who can represent the future of intelligent manufacturing?
We have been talking about smart logistics for so many years, but do we really understand what is at the core of smart logistics?
Broadly speaking, traditional logistics typically involves very complex application scenarios, such as warehousing, loading and unloading, handling, packaging, distribution and processing, distribution and so on. It is not difficult to find that the management of supply chains based on warehousing is becoming the core of logistics management, because warehousing always appears at the crossroads of logistics links, and warehousing is also a means to solve the unevenness between the various aspects of logistics. The biggest difference between intelligent logistics and traditional logistics lies in the warehousing link- in other words, the progress of intelligent warehousing represents the progress of intelligent logistics.
Trolley for AGV
In a recent global logistics technology conference, including Jingdong, Ali and Suning, as well as e-commerce companies, the progress of intelligent logistics was introduced. This logic is easy to understand - e-commerce is the fastest growing and most rapidly expanding industry in recent years, with rapid development of its scale and fragmentation of a large number of orders. Reliance on traditional warehouse management and operation mode is difficult to timely and accurate processing, thus promoting the development of warehouse management to automation, wisdom.
Based on the actual implementation of intelligent warehousing in China today, who represents the highest level of intelligent logistics?
The wisdom of logistics is closer to self-built logistics
We continue to follow the main line of e-commerce, seeing how intelligent logistics develops. The first is represented by Jingdong, which started with its own logistics and gradually improved each link in its logistics to achieve integrated smart logistics. The second is represented by Cainiao, which is based on mature logistics companies, data connectivity and ecological management to develop smart logistics.
Although these two models have their advantages, self-built logisticsamr robotics is more controllable, the growth rate will be slightly slower, so in addition to the earliest layout of Jingdong, there are few successful cases in the industry. Ecological logistics management, on the other hand, has the advantage of being able to quickly unfold, but the disadvantage is that when data across multiple companies' systems is not good for long-term development.
Wisdom is undoubtedly the key to solving the problem of intelligent logistics. "Wisdom" means providing logistics more capabilities, such as embedded in the control and communication modules of logistics robotics, embedded in RFID pallets and totes, and embedded in intelligent shuttles and shelves. As well as following two important yardsticks, artificial intelligence applications follow two others.
Logistics that is intelligent
Clearly, from the data perspective, self-built logistics' data chains are more complete, so the realization of intelligent results will be more refined when the data is used for deep learning. One of the main reasons why smart logistics is closer to self-built logistics is this.
Second, back to the implementation of intelligent logistics, intelligent logistics in the application of technology is very diverse, including sensing technology, automation technology, positioning tracking, data processing and many other intelligent technologies. The key is to apply these technical means to create solutions for specific application scenarios.
Unmanned warehouse automation storage solutions have become more popular in recent years, due to the high degree of automation, high efficiency, and high flexibility of these robots.