First, the practice and experience
(a) combined with the manufacturing process customized research and development of a variety of logistics robots. Focusing on 3C, automotive, consumer goods and other manufacturing industries, production materials, complex combinations, specifications, low flow out of the warehouse, but the line is variable and other difficult pain points, breakthroughs in a variety of intelligent equipment mixed operations and logistics flexible group order technology, research and development of high-density three-dimensional warehousing system on the edge of the line, based on the vision of the laser hybrid navigation of the level of mobile robots, etc., to achieve flexible manufacturing, agile manufacturing.
(B) independent development of cloud-based flexible lineside logistics control platform. Through the Internet of Things, the Internet, cloud computing, artificial intelligence and other technologies to build a cloud - edge synergy mechanism, the robot integrated control, intelligent scheduling, algorithms, etc. integrated into the cloud platform, to achieve intelligent logistics robots complex business of intelligent, digital, automated control. Realize the protocol conversion between sensing network and communication network, as well as different types of sensing network through intelligent equipment gateway, and unify the interface docking standards of different equipment, different equipment manufacturers, and different systems technically; localized pre-analysis through intelligent edge computing by aggregating, optimizing, and filtering the data of the intelligent logistics equipment, and processing the data at the edge to ensure the response requirements under real-time interaction scenarios, and at the same time Upload high-value data to the cloud for complex business processing, reduce the transmission of data volume, and improve the communication efficiency between the server and the edge side. Through data collection, data processing, data storage, and self-aware, self-adaptive, and self-driven intelligent data management and control, it provides online real-time operation analysis and resource allocation suggestions.
(C) Introducing simulation technology and big data algorithms to realize management leaning. Simulation technology and big data algorithms for intelligent manufacturing has a crucial role, Jingdong Logistics in the original mature e-commerce logistics data and simulation team based on the formation of data and simulation team dedicated to the intelligent manufacturing industry, the practice test can significantly shorten the overall performance of the system to climb the cycle, help lean manufacturing goals.
Second, the integration effect
BOE Logistics independent research and development of integrated navigation, intelligent robots, scheduling and control algorithms and other technologies, especially the logistics center, dynamic and accurate allocation of storage space, optimization of tasks and optimization of the path of the goods storage and transportation technology, etc. in the BOE Logistics operating system continue to test and optimize, and applied to the manufacturing enterprises to empower the case to help enterprises to reduce costs and increase efficiency. Such as in the service of a well-known home appliance enterprises, Jingdong Logistics through process reshaping, storage layout planning, system management standardization of operations, automation equipment applications and other comprehensive solutions to help the home appliance manufacturing enterprises to reduce overall costs by 10%, inventory utilization rate increased by 13%, operational efficiency increased by 20%, and synchronized to achieve the whole process of visualization of operations.