
Introduce the basics of logistics and intralogistics, covering warehousing, receiving, storage, picking, packing, sorting, and shipping, and explain how automation enhances these processes.
Understand macro reasons for logistics automation, driven by large-scale manufacturing and customization demands in ecommerce. See how automation, IoT, AI, and cloud enable flexible, intelligent logistics.
Explore four basic features of today’s logistics automation systems—digital, intelligent, networked, and flexible—driving data-driven decisions across handling, storage, picking, sorting, packaging, and loading.
Explore a typical logistics automation system across four levels—ERP/MES, WMS/MS, WCS/RCS, and field equipment—and learn the three key design elements and material and information flow technologies.
Explore the four-level logistics automation system—from ERP/MS to WMS, WCS, and RCS—identify core elements like material handling units, upstream–downstream relationships, and movement methods.
Analyze external physical characteristics and stacking patterns of material handling units to optimize storage, handling, and throughput in intralogistics automation. Highlight shapes, stability, and pallet placement affecting automation and picking.
Standardize material handling units to boost logistics efficiency and cut costs, balancing long-term durability, capacity, and compatibility with automated equipment while enabling barcode and RFID tracking.
Analyze statistics approaches for material handling units to support inventory management and automated logistics planning. Include storage capacity, in-out flows, and average and peak metrics.
Learn how upstream and downstream devices coordinate in a logistics automation system, with one-to-one, one-to-many, many-to-one, and many-to-many configurations using conveyors, robots, and warehouses.
Explore how upstream and downstream in logistics automation connect through physical interfaces, control coordination, throughput balance, and information exchange, including pallets, depalletizing, lifts, and transfer between conveyors.
Set up buffers to resolve upstream–downstream capacity mismatches in logistics systems and optimize throughput. Understand discrete and continuous handling and compute buffer capacity from long-term inflow and outflow.
Analyze throughput between upstream and downstream in a logistics automation system by examining equipment, connections, bottlenecks, and how unit changes affect overall throughput.
Explore typical upstream and downstream models in a logistics automation system - splitting, confluence, assembly confluence, disassembling splitting, and buffering - and the efficiency relationships that tie flows.
This lecture explains two kinds of material handling in a logistics automation system: discrete handling using AGV robots and ASRS cranes, and continuous handling via conveying and transporting.
Explore discrete handling and efficiency analysis by examining countability, operation speed, load, and cycle time calculations for upstream to downstream transport, with methods to improve performance.
Explore wireless and infrared communication for mobile discrete handling equipment, enabling inter-equipment coordination and data exchange with host software WMS, WCS, RCS, and OMS, and access to doors and elevators.
Explore four power supply solutions for discrete handling equipment in logistics automation: batteries, tact-in cables, conductor rails, and underground power conduction. Apply them to AGVs, RGVs, and RTVs.
Learn the principles of continuous handling and its efficiency, using flow rate concepts to model conveyor transport and show how material size, speed, and gaps affect performance.
Discover the advantages of continuous handling, including higher unit-time efficiency, simple mechanics, and reliable operation. Explore its challenges, such as fixed ports, space use, and limited scalability.
Explore how logistics automation systems coordinate material flow and information flow. Use control technology to move and store material units and information technology to track status, location, and orders.
Explore control technology in logistics automation, covering motor drive, plc control, perception, navigation, and trackless positioning for efficient material flow. Learn sensors, feedback loops, and agvs coordinate conveyors and robots.
Discover information technology in a logistics automation system, detailing data flows from sensors to databases across a four-level pyramid, and the roles of WMS and WCS in warehousing.
Explore automated dock receiving and buffer systems to optimize dock management, unloading, and material flow integration for logistics centers.
Explore the automated dock receiving system, including dock schedule software, vehicle registration, parking management, and job notifications, plus automated unloading options like telescopic conveyors and AGV pallet handling.
Explore automated buffer systems that store materials after goods receiving, using conveyors, accumulation, spiral and vertical buffers, and hybrid layouts for greater automation; including automated cabinet systems and robotic arms.
Explore the composition of automated storage systems, including standardized material containers, ASRS handling, pallet racking, and the warehouse management system (WMS).
Learn how to optimize automated storage layouts by separating inbound and outbound flows externally and increasing internal density, using ASRS, AGV, and WMS-driven wave scheduling.
Boost automated warehousing efficiency by identifying bottlenecks in in and out operations and increasing throughput. Explore single versus multi threading, ASRS, and WMS to parallelize conveyors, aisles, and forklifts.
Explore the automated pallet storage system and its core components—crane, stacker, wrecking, and wms—innovations like double reach, hinged l design, gravity racking, and 3d shuttle board to boost throughput.
Explore automated box storage systems, from mini-load cranes to three-dimensional multi-layer shuttles, and how vertical and climbing saddle designs address lift bottlenecks for high-throughput picking and dense storage.
Compare case picking and piece picking, detailing pallet versus rack storage and how this shapes workload and shipping. Explore efficiency tactics like faster movement and RF/voice/VR picking.
Explore automated case picking strategies for high turnover goods, including flow racking, home picking, and flexible zone picking powered by warehouse robots, case to person and case to robot solutions.
Explore automated piece picking and its advantages over case picking, focusing on increasing throughput through turnover-based storage, wave picking, and serial or parallel picking strategies.
Explore automated sorting systems in warehouses, moving from picking to sorting picked items into piles via sorting machines. Consider material properties, large volumes, and fatigue reduction to optimize configuration.
Identify materials using bar code and destination code, then sort to destinations via intelligent sorting system and conveyer, while software tracks each item for high throughput.
This lesson presents three typical automated sorting systems: straight line, circulating, and sorting robots, explaining how throughput and efficiency depend on main line speed, spacing, and insertion position.
Explore an automated case packing system that streamlines packing from case packing to pallet packing, using automated container supply, robotic filling, and labeling to reduce packaging waste in logistics centers.
Explore automated pallet packing systems and palletizing strategies, including choosing the right pallets, placing heavy goods at the bottom, avoiding pyramid structures, and ensuring anti-sleep alignment for stability.
Automated logistics practitioners mainly include automated logistics equipment integrators, equipment manufacturers, software providers and automated logistics system users, and these different roles often focus on different priorities.
The successful construction of automated logistics system requires the joint cooperation of Party A and Party B, mechanical and electrical engineers, hardware engineers and software engineers, logistics planners and project implementers to complete the perfect system integration.
Most of the current books on automated logistics are basically the content of various logistics equipment parameters and functions. The underlying principle and technical application logic of automated logistics system are not introduced, and logistics technology changes with each passing day, and the rapid iteration of equipment parameters makes relevant books soon no longer applicable in reality.
This course aims to build a common technical cognition bridge for practitioners from all sides, starting from the underlying elements and basic technologies of automated warehousing and logistics system integration, and then analyzing the principles and implementation logic of automated logistics system in each typical logistics link. This course is practical and rich in content, with plenty of real life pictures and videos, easy to understand.
The technical details of this course include a series of hot topics such AS warehouse logistics automation planning and design, AS/RS, intelligent robots, automatic picking system, warehouse management software WMS, AGV, AMR application and so on.
This course is also the first time in the industry to systematically and theoretically sort out the underlying elements of intelligent logistics, providing a new analytical perspective for the cognition of automated logistics system