AGV Order Fulfillment Routing With Location-Based Picklist Sorting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Inefficient order fulfillment processes in facilities, where multiple pickers often perform redundant tasks, leading to lost productivity.
Innovation Solution
A system utilizing a sorting control device to aggregate orders into a master picklist, which is then divided into location-based sub-picklists, and transmitted to autonomous guided vehicles (AGVs) for navigation and conveyor systems with computer-controlled rollers and actuated platforms to efficiently sort and deliver items to their designated isolation wings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple pickers perform picks independently when orders are received, then order fulfillment can be performed in real-time, but redundant tasks are performed leading to lost productivity
Solution Approach 1:
The system combines multiple independent picker operations into a single coordinated AGV operation. The master picklist aggregates items from multiple orders and consolidates them into optimized pick routes, merging redundant pick tasks into one efficient traversal of the facility.
Solution Approach 2:
The system performs preliminary aggregation of orders into a master picklist before picking begins. This preliminary consolidation allows the system to plan optimal pick routes in advance, identifying all items that need to be collected before the AGV begins its journey, thereby eliminating redundant trips and tasks.
2Productivity
If a centralized system aggregates and consolidates picklists, then redundant tasks are eliminated improving productivity, but system complexity increases
Solution Approach 1:
The sorting control device serves multiple functions: it receives and aggregates orders from multiple sources, generates master picklists, divides them into sub-picklists, transmits notifications to AGVs, and tracks item locations. This multi-functional approach consolidates what would otherwise require multiple separate systems into a single universal control platform.
Solution Approach 2:
The system introduces a digital notification as an intermediary between the sorting control device and the AGV. This notification carries all necessary information (sub-picklists, item locations, destination AGV docks) in a standardized format, simplifying the interface between control and execution components while enabling complex coordination.
3Productivity
If AGVs navigate autonomously to item locations based on transmitted notifications, then picking efficiency improves, but navigation and coordination complexity increases
Solution Approach 1:
The system implements feedback loops where the sorting control device receives real-time information about item locations and AGV status, then dynamically adjusts sub-picklists and routing instructions. This feedback mechanism allows the system to adapt to changing conditions while maintaining optimized pick routes, reducing the need for complex autonomous decision-making in the AGV itself.
Data Source
AI summary
A system and a method for the automated fulfillment of retail orders in a facility is disclosed. A sorting control device aggregates a plurality of orders into a master picklist divides the master picklist into sub-picklists based on a location of the items. The sub-picklists, a first location of an item, and the location of a dock to a conveyor system are transmitted to an autonomous guided vehicle (AGV). The AGV navigates to the first location and obtains the item. The AGV iterates the sub-picklist navigating and retrieving each item. The AGV navigates to the AGV dock of a conveyor system and deposits the items at an inlet of the conveyor system. The conveyor system scans each of the items as they pass through a scan tube. Based on the scanning, each item is directed by a set of computer controlled rollers and actuated platforms to a destination isolation wing.