Automated Warehouse Control System for Parallel Picking Efficiency

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Solution Overview

Problem

Current automated warehouse systems face inefficiencies in the picking process, particularly when preparing delivery packages that require multiple types of items, as operators often need to switch between different trays, leading to significant inefficiencies.

Innovation Solution

A control system and method for an automated warehouse system that includes a controller managing transportation robots to prioritize the transportation of storing bins with frequently used items closer to picking stations, guiding robots to transport shipping bins between destinations, and dynamically managing bin locations to optimize picking efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If operators manually pick items from separate trays for different destinations, then the system is simple to operate, but picking efficiency is significantly reduced due to frequent tray switching

Engineering Contradiction:
Improvepicking efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system segments the picking process by separating storing bins (containing items) from shipping bins (receiving items), and assigns different colors to represent different destinations. This segmentation allows parallel processing of multiple destinations without manual intervention, as each bin type has a dedicated function and location.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The transportation robots autonomously transport storing bins to picking stations and shipping bins to designated locations without human intervention. The system self-manages the complex coordination of multiple bins and destinations, eliminating the need for operators to manually switch between trays while maintaining high picking efficiency.

Inventive Principle:
Principle #25Self-service

2Manufacturing precision

If multiple shipping bins for different destinations are transported separately, then destination-specific items can be accurately delivered, but the time required for bin transportation increases

Engineering Contradiction:
Improvedelivery accuracyVSAvoidtransportation time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-positioning storing bins and shipping bins at appropriate locations before the picking operation begins. Transportation robots proactively transport bins to picking stations and designated shipping locations in advance, so that when picking starts, all necessary bins are already in position, minimizing delays.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The transportation robots continuously transport bins without interruption during the picking process. While picking operations are underway, robots continue to deliver new storing bins and shipping bins, and retrieve completed shipping bins, ensuring that the bin supply chain remains continuous and uninterrupted, thereby reducing total transportation time.

Inventive Principle:
Principle #20Continuity of useful action

3Productivity

If storing bins with frequently used items are positioned closer to picking stations, then picking speed increases, but the complexity of managing bin locations increases

Engineering Contradiction:
Improvepicking speedVSAvoidbin location management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The control system continuously monitors picking station activity and receives feedback about which storing bins are most frequently accessed. Based on this feedback, the system dynamically adjusts the positioning of storing bins by transporting them closer to picking stations, optimizing picking speed while managing location complexity through automated control.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system dynamically adjusts storing bin positions based on real-time picking patterns rather than maintaining fixed locations. Transportation robots continuously reposition storing bins to optimize accessibility, allowing the system to adapt to changing demand patterns and maintain high picking speed while managing location complexity through flexible, dynamic positioning.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20240262627A1Control system and control method for automated warehouse system
Publication Date: 2024.08.08 RAPYUTA ROBOTICS CO LTD
  • US20240262627A1 patent drawing
  • US20240262627A1 patent drawing
  • US20240262627A1 patent drawing

AI summary

A control system for an automated warehouse system (1) includes a controller (51) controlling the automated warehouse system (1), the automated warehouse system (1) including: a rack (10) for arranging at least one storing bin (20) for storing at least one item (23); a plurality of picking stations (40) for picking the item (23) from one or more of the storing bins (20) to one or more shipping bins (20A) for containing an item (23) to be shipped; and a plurality of transportation robots (30) for transporting the storing bin (20) and the shipping bin (20A). The controller (51) controls one or more of the transportation robots (30) to separately transport, among the one or more shipping bins (20A), at least a shipping bin (20A) for a first ship-to destination and a shipping bin (20A) for a second ship-to destination to the picking station (40) and controls one or more of the transportation robots (30) to transport the one or more storing bins (20) to the picking station (40), the one or more storing bins (20) each containing the item (23) for the first ship-to destination and the second ship-to destination.