Precise Transport from Production Line to Transfer Area
The fourth floor of the factory houses busy production lines where thousands of luggage products are assembled, tested, and packed each day. In the past, finished cartons had to be manually transported from the line to the transfer area-an operation that was labor-intensive and limited in efficiency.
Today, this process has fundamentally changed. Once packaging is completed, operators simply issue a command through the system. The DaliForce 3.0 autonomous forklifts arrive at the designated pickup points on schedule. Equipped with advanced vision-based navigation and multiple safety sensors, the forklifts move smoothly through narrow aisles, accurately locating and transporting goods with high reliability.
Seamless Coordination Enabled by an Intelligent Scheduling System
At the core of this deployment is a multi-robot scheduling system that serves as the "brain" coordinating the three autonomous forklifts. Based on real-time order demand, warehouse capacity, and production rhythm, the system intelligently assigns tasks across the fleet.
While one forklift is executing a transport mission, the system simultaneously plans optimal routes and next tasks for the other two. From the production line to the transfer area, and onward to designated storage locations on the second and third floors, the entire workflow operates fully autonomously.
"From the production line to the transfer zone and then to the assigned warehouse locations, the entire process runs without human intervention," said the factory's logistics manager. "With three DaliForce 3.0 autonomous forklifts, we now complete hundreds of transport runs every day-achieving more than three times the efficiency of traditional manual handling."
Data-Driven Logistics Optimization
Each DaliForce 3.0 autonomous forklift is equipped with a comprehensive data collection system that records transport time, routes, payloads, and operational status for every task. This data is transmitted in real time to a centralized management platform, where it is used to identify logistics bottlenecks, optimize route planning, and even forecast future workload demand.
After three months of continuous operation, the factory has achieved a 40% increase in logistics efficiency and a 95% reduction in handling errors. More importantly, employees previously assigned to repetitive transport tasks have been reassigned to higher-value roles such as quality inspection and operational management, enabling a more efficient allocation of human resources.