Comparison of related technologies in supply chain logistics between China and the United States
(1) Smart warehousing has become a key link in the supply chain
Warehouse operators rely on technology to improve network structure and productivity. In order to speed up order fulfillment and meet increasing service requirements, many companies are designing seamless inventory systems, integrating the warehousing needs of various customers, and creating omni-channel delivery capabilities.
In China, smart warehouses have been put into use in many places. There are hundreds of robots in the warehouse. They work together and operate independently, representing the level of Chinese robot warehouses. In the rookie network wisdom warehouse and the traditional warehouse test at the same time, the picker in a traditional warehouse, in 7 and a half hours, walked around 28,000 steps, picking 1,500 pieces, close to the manual picking limit. The number of pickers in a smart warehouse is only about 2,600 steps, and the number of pickers has reached 3,000.
The Best Supply Chain Division of Best Group has launched “Bai Shi Yun Cang” to provide online and offline integrated order fulfillment services for many brand enterprises. Baishi Logistics has set up a cloud platform with IT tools and formed a cooperative relationship with brand enterprises that sell in e-commerce. When the consumer directly accesses the cloud platform after purchase, the cloud platform orders the express delivery enterprise selected by the consumer, and assigns the order without the express delivery to the express delivery enterprise. These cooperative online sales companies have set up warehouses in the warehouses of Best Logistics to realize online and offline business linkages.
In the United States, as wages continue to increase, some operators are improving employee productivity through technologies such as lamp picking, voice, and automatic picking requests. Robotics, as the ultimate technology to save labor, also brings great hope to warehouse operations. Auto-guided robots can move materials quickly while learning the layout of the warehouse, further improving efficiency. Automation and other advanced systems can alleviate the cost pressures of the warehouse and provide operators with the new features they need. Advances in warehouse management systems have created more opportunities for productivity. The new mobile app allows managers to optimize labor costs in real time by analyzing distribution center ground activities. Advanced warehousing software and cloud services can go beyond the warehouse to collect upstream order information and downstream shipping data. Seamless connectivity creates a fully integrated system that responds quickly to changing customer needs and benefits the entire supply chain.
(2) Cloud computing and big data technology are more mature in the supply chain
The information flow runs through the supply chain, and the flow of funds and logistics are all based on information flow. In the past few years, the number of parcels has increased dramatically and the delivery time has increased. It relies entirely on the standardization of information infrastructure, smart logistics platform technology and the application of intelligent equipment.
In China, the launch of the electronic face sheet has opened up the mainstream express delivery companies and merchant systems in China, realizing the full informationization and standardization of express delivery from collection to delivery. In the past three years, the implementation of electronic face-to-face has rapidly increased the industry penetration rate from less than 5% to nearly 80%.
The rookie network intelligent logistics supply chain global optimization platform is based on the accumulated data accumulated on the Amoy system, using big data analysis and machine learning techniques to build the package quantity and timeliness of each flow during the “Double Eleven” period. Optimization, sorting optimization and distribution optimization. Through this technology, the package amount of each line in the country can be predicted with an accuracy of 80%, which greatly helps the logistics companies on the platform to prepare resources in advance, so that the troops and horses are not moved and the grain is first.
In the United States, the application of Internet of Things, big data, and cloud computing in supply chain management is becoming more widespread. Improve cargo capacity and increase efficiency through technologies such as big data, predictive analytics, artificial intelligence and robotics. Use advanced technology to develop new package delivery business models, such as crowdsourcing and vehicle sharing. On behalf of an emerging company in the United States, Onibag can provide next-day delivery services to 70 cities in five US states without a vehicle or distribution center. The company used a crowdsourcing model for both the first-mile pick-up and the last-mile delivery, and relied on car sharing and excess capacity on long-distance buses for long-haul packages.
(3) Technological innovation continues to increase capital investment in express logistics enterprises
In China, technological innovation is the main means used by express logistics companies to reduce costs and increase efficiency. In the next five years, enterprises will continue to increase investment, especially to optimize the supply chain relationship between express delivery and e-commerce, and realize information mining, intelligent sorting, efficient transportation, convenient tracking and even accurate delivery with information technology to enhance information sharing and standards. Docking to improve the quality of e-commerce express delivery services. The technologies that will be developed and applied in the future include: blockchain, “three no technologies”, big data, cloud computing, 3D printing, enhanced logistics, sensor technology, etc.
In the United States, technologies such as car networking, predictable logistics, Uber cargo, electric fleet and autonomous driving will be further developed.
One is the Internet of Vehicles, a new business model in which vehicle ownership and operations are separated. The visibility provided by the Internet of Vehicles improves vehicle/driver performance and monitors equipment conditions for preventive maintenance and risk management; IoT equipment will be installed in vehicles for driver management, vehicle management and logistics management. Operators install more monitoring functions on trucks, and the number of interrelated trucks will increase rapidly, and the scope will also include shippers, third-party logistics providers, other trucks and regulatory agencies.
The second is predictable logistics, where IoT provides data for visualization and enhanced predictive capabilities and discipline analysis capabilities to optimize scheduling, routing, asset utilization and overall performance. Shippers and operators will use analytical tools and artificial intelligence to optimize supply chain performance; the logistics industry recognizes that predictive analytics will have a significant impact on the supply chain over the next decade.
The third is Uber Freight, which effectively matches supply and demand through network platforms and reduces excess capacity. As shippers and operators move from traditional manual/personal services to digital platforms, Uber Freight will grow rapidly in the next few years.
The fourth is the electric fleet. Government regulators, shippers and consumers have pushed logistics providers to use fossil fuel alternatives and reduce emissions. The market share of electric power systems used in the future in the city will increase, and hydrogen fuel cells will gradually be used as power sources for other storage operations.
The fifth is automatic driving technology. With autonomous vehicles, drivers can perform copywriting, communicate with shippers or destinations, and prepare for the next shipment. The future self-driving truck fleet will be the first widely used form, with fully automated trucks entering the post-development phase and testing in the city.
Reprinted from the network