Autonomous Vehicle Handover Control for Dynamic Warehouse Labor Balancing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing warehouse systems face inefficiencies due to the need for zones, which can lead to suboptimal distribution of workloads and resource allocation, particularly in dynamic environments with changing order profiles and product demand.
Innovation Solution
The system dynamically allocates resources, including workers and autonomous vehicles, by associating vehicles with series of location-dependent operations and making automated decisions on resource allocation based on cost functions, eliminating the need for fixed zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed zones are used to assign workers and robotic carts, then workload distribution can be simplified, but resource utilization efficiency deteriorates due to idle time and inability to adapt to changing demand
Solution Approach 1:
The system dynamically reassigns workers and robotic carts based on real-time workload demands and location requirements. Instead of fixed zone assignments, the control system continuously optimizes resource allocation by evaluating current order profiles, product demand, and worker/cart locations to minimize idle time and maximize productivity.
Solution Approach 2:
The system changes the operational parameters of resource allocation from static zone-based assignments to dynamic task-based assignments. The control system adjusts assignment parameters in real-time based on changing order profiles, product demand patterns, and operational priorities, allowing flexible adaptation without reconfiguring physical zones.
2Productivity
If zones are implemented to reduce worker walking time, then labor efficiency improves, but adaptability to changing order profiles and product demand deteriorates
Solution Approach 1:
The system implements dynamic task assignment that adapts to changing order profiles and product demand in real-time. The control system continuously evaluates workload requirements and reassigns workers to optimal locations based on current operational needs, maintaining high labor efficiency while providing full adaptability to demand changes without being constrained by fixed zone boundaries.
Solution Approach 2:
Workers are not confined to specific zones but can be universally assigned to any location within the warehouse based on current task requirements. The system provides multi-functional resource allocation where the same worker can efficiently handle different product types and order profiles by being dynamically reassigned to appropriate locations, eliminating the need for zone-specific expertise or constraints.
3Loss of time
If robotic carts are used to transport goods, then worker walking time is reduced, but overall resource utilization deteriorates due to idle cart time
Solution Approach 1:
The control system performs preliminary assignment of workers to robotic carts based on predicted workload requirements and location analysis. By proactively matching workers with carts that have upcoming tasks in their vicinity, the system minimizes both worker walking time and cart idle time, ensuring that carts are productively utilized while workers spend minimal time traveling.
Solution Approach 2:
The system continuously monitors the operational status, location, and task completion of robotic carts and workers, using this feedback to dynamically reassign resources. When a cart becomes idle or a worker completes tasks, the control system quickly reassigns them to new tasks based on current warehouse conditions, minimizing idle time for both workers and carts while maintaining high utilization efficiency.
Data Source
AI summary
Methods and apparatus for making autonomous vehicle handover decisions are described. A handover decision involves deciding if an autonomous vehicle should be handed off from one worker to another worker. The methods allow for decisions to be made in real or near real time shortly before an autonomous vehicle changes location. Worker time, if a handover is not implemented, is considered including the amount of worker time involved with the worker moving with the autonomous vehicle to the new location as compared to a new worker meeting the autonomous vehicle at the new location or on the way to the new location. Handover decisions can consider worker distribution and/or order priority. Such factors can be used to weight one or more time based cost values with a cost value representation of the cost if a handover is not implemented vs implementing a handover being compared to make the handover decision.