AGV Pallet Transport Routing for Flexible Warehouse Assembly
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional pallet transportation systems, such as conveyor belt systems and forklifts, are inefficient and costly due to their fixed paths and reliance on manual operation, while existing automated solutions lack flexibility and optimization in warehouse environments.
Innovation Solution
The implementation of automated guided vehicles (AGVs) with algorithms that optimize routes, velocity-based pallet grouping, and dynamic path generation to efficiently move and assemble pallets within a gridded assembly area, replacing traditional conveyor belt systems and forklifts with more flexible and cost-effective solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conveyor belt systems and forklifts are used for pallet transportation, then pallets can be moved reliably, but the system becomes costly and inefficient due to fixed paths and manual operation
Solution Approach 1:
The patent replaces traditional mechanical conveyor belt systems and manual forklifts with automated guided vehicles (AGVs) that use sensors, algorithms, and autonomous navigation to transport pallets. This substitution eliminates fixed mechanical infrastructure while maintaining reliable pallet movement through software-controlled autonomous vehicles.
Solution Approach 2:
The patent implements dynamic path planning algorithms that allow AGVs to adapt their routes in real-time based on warehouse conditions, pallet destinations, and traffic patterns. This dynamic approach replaces fixed conveyor paths with flexible, optimizable routes that improve transportation efficiency while reducing system complexity.
2Adaptability or versatility
If traditional forklifts and conveyor systems are deployed, then pallet assembly can be performed, but operational costs increase and flexibility decreases
Solution Approach 1:
The patent implements autonomous AGVs that self-navigate, self-coordinate, and self-optimize their routes using onboard sensors and centralized algorithms. This self-service capability eliminates the need for manual forklift operation, reducing labor costs while increasing operational flexibility and adaptability to changing warehouse requirements.
Solution Approach 2:
The patent uses velocity-based pallet grouping that dynamically adjusts AGV speeds and routing parameters based on pallet priority, destination, and assembly requirements. This parameter optimization reduces operational costs by minimizing travel time and energy consumption while maintaining high flexibility in pallet assembly operations.
3Reliability
If fixed-path conveyor systems are used, then pallet movement is reliable, but travel distance is maximized and efficiency is reduced
Solution Approach 1:
The patent implements preliminary path planning algorithms that calculate optimal routes for AGVs before pallet transport begins. By pre-computing efficient paths based on destination requirements and current warehouse conditions, the system ensures reliable pallet movement while minimizing travel distance and time, eliminating the inefficiencies of fixed conveyor paths.
Data Source
AI summary
A layer pick system optimizes usage of a layer picker gantry or robotic arm by arranging and/or displacing the gantry or arm in optimal locations with respect to one or more groups of pallets, and/or by grouping pallets by their attributes and arranging the same group of pallets close to each other. In some implementations, a plurality of pallets is categorized into multiple groups by different velocities.