Case Study:
Intelligent Automation for Random Sequence Mixed Palletizing
Struggling with diverse SKUs, rising order complexity, and ever-shrinking delivery windows?
Download the full case study of this innovative solution developed with Jacobi Robotics to find out how advanced Photoneo 3D vision and intelligent buffering transform the complex, random sequence mixed palletizing puzzle into a streamlined, high-throughput operation.
Smart Automation for Random Sequence Mixed Palletizing
Mixed palletizing demands a smarter approach beyond slow, inflexible manual processes. Learn about the breakthrough conveyor-based robotic solution that utilizes Intelligent Buffering and Sequencing to manage case flow, optimize stacking order, and achieve high-speed throughput in a compact footprint.
Key Highlights You'll Discover:- High-Throughput Performance (300-1000 Cases/Hour): See the blueprint for achieving exceptional efficiency through AI-powered cycle time optimization and high-speed robotic manipulation.
- Mastering Random Sequences: How the Intelligent Buffering Robot dynamically stores, retrieves, and reorders cases on the fly, eliminating the vast space requirements of traditional sortation systems.
- The Power of Precise Multi-Scanner Vision: The strategic reason Jacobi Robotics chose a multi-scanner setup (3 PhoXi 3D Scanner XL and additional L units) and three Vision Controllers (VCs) to capture the full palletizing zone with millimeter-level precision.
- Solving Technical Vision Challenges: How Photoneo’s technology overcomes hurdles like instantaneous case localization and accurately scanning challenging packaging materials (glossy, reflective, dark) regardless of material type.
- Scalable and Flexible Deployment: How the system is designed for rapid deployment and easy reconfiguration to accommodate higher volumes and diverse warehouse layouts.