1, part 0 1 warehouse management:
"Artificial Intelligence+"warehousing is a highly integrated comprehensive system. The application scenarios mainly include warehouse site management, AMR and equipment scheduling system, and the scenarios are subdivided into express delivery, e-commerce warehousing, production logistics and automated large warehouses. Warehouse site management is based on Internet of Things, cloud computing, big data, artificial intelligence, RFID and other technologies.
Effectively mobilize the functions of cargo quantity measurement, electronic bill information identification, warehousing and distribution, logistics equipment scheduling, AMR and so on. And carry out a series of intelligent management on warehousing, storage, picking, sorting, packaging and warehousing of goods.
2. Part II Transportation Management:
The transportation link realizes the transportation of goods, mainly including the information management of transportation equipment and transportation process. Domestic transport modes include air transport, railway transport, road transport and sea transport. Highway transportation has high flexibility and large freight volume, and artificial intelligence can play a greater role.
The increasingly mature automatic driving technology will completely subvert the existing road transportation system, drive more efficiently and safely, and rely less on manpower, which will greatly improve the efficiency of road transportation. The management of transportation information is complicated, including task allocation and route planning before departure, information tracking and emergency dispatch during driving, inventory, unloading and vehicle condition inspection after arrival at the destination.
3. Location of Part 04 Warehouse:
Artificial intelligence technology can give a location model close to the optimal solution according to the real environment. Warehouse location is a complex process, which needs to consider many factors, including natural conditions such as geology, hydrology and topography, as well as social factors such as commodity characteristics, logistics cost, service level, customer distribution, infrastructure, transportation and policies.
Through big data, artificial intelligence, cloud computing and other technologies, the location and optimization of warehouses can be realized more accurately and scientifically, and the interference of human subjective factors can be reduced. So as to improve the site selection efficiency and storage quality.