Warehouse SKU Allocation Between Manual and AGV Zones

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Solution Overview

Problem

Warehouses face inefficiencies due to restrictions that limit the transfer of stock keeping units (SKUs) from manual zones to automated guided vehicle (AGV) zones, leading to underutilization of AGV zones and unstable inventory levels, resulting in low throughput and profits.

Innovation Solution

A computer-implemented system that intelligently allocates SKUs by determining whether they correspond to an AGV or manual zone, allowing for flexible transportation of SKUs between zones based on their identifiers and availability, optimizing the allocation between manual and AGV zones to maximize utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If SKUs are restricted to manual zones when received, then the initial allocation process is simple, but the AGV zone utilization is low and throughput is reduced

Engineering Contradiction:
Improvewarehouse throughputVSAvoidallocation process complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system dynamically determines SKU allocation based on real-time zone capacity and SKU characteristics. Instead of static assignment, the system evaluates whether to allocate to manual or AGV zones at receipt time, allowing flexible adaptation to current warehouse conditions and maximizing AGV zone utilization while maintaining process simplicity

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the allocation parameter from fixed manual zone assignment to dynamic zone selection based on multiple factors including zone capacity, SKU properties, and operational efficiency goals. This parameter change enables the AGV zone to receive appropriate SKUs directly, improving throughput without significantly increasing complexity

Inventive Principle:
Principle #35Parameter changes

2Quantity of substance

If manual transfer processes are used to move SKUs from manual to AGV zones, then inventory levels in AGV zone can be increased, but significant time and resources are wasted

Engineering Contradiction:
Improveinventory level in AGV zoneVSAvoidtransfer process time
Core Design Contradiction:
Quantity of substanceVSLoss of time

Solution Approach 1:

The system performs preliminary allocation decisions at the moment of SKU receipt, determining the destination zone before the SKU enters the warehouse flow. This preliminary action eliminates the need for subsequent manual transfer processes, as SKUs are directed to the AGV zone directly upon arrival, maintaining high inventory levels without time-consuming transfers

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system extracts the allocation decision-making function from the traditional sequential process (receive→manual zone→transfer→AGV zone) and integrates it into the initial receipt process. By taking out the zone selection step and performing it upfront, the system eliminates the intermediate manual transfer stage, reducing both time and resource consumption

Inventive Principle:
Principle #2Taking out (Extraction)

3Adaptability or versatility

If SKUs are allocated to manual zones only, then the allocation process is straightforward, but the AGV zone remains underutilized and inventory stability is poor

Engineering Contradiction:
Improvezone utilization flexibilityVSAvoidallocation operation simplicity
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The allocation system becomes universal by serving multiple functions: it evaluates SKU characteristics, assesses zone capacity, determines optimal destination, and directs allocation all in one integrated process. This multi-functionality allows the system to adapt to different SKUs and conditions while maintaining operational simplicity through automation

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs self-service by automatically determining optimal SKU allocation without requiring manual intervention for each decision. The automated evaluation and assignment process maintains simplicity while improving adaptability, as the system independently optimizes zone utilization based on current conditions and SKU properties

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20240330848A1Computerized systems and methods for intelligent allocation of products in a warehouse
Publication Date: 2024.10.03 COUPANG CORP
  • US20240330848A1 patent drawing
  • US20240330848A1 patent drawing
  • US20240330848A1 patent drawing

AI summary

Systems and methods for intelligent allocation of products in a warehouse. Methods include when the SKU does not correspond to an AGV zone of the warehouse, commanding a mobile receptacle to transport the SKU to a manual zone of the warehouse; when the SKU does correspond to an AGV zone of the warehouse: when the SKU identifier comprises a pallet tag: transporting the SKU to an AGV zone of the warehouse; when the SKU identifier does not comprise a pallet tag: calculating a first allocation of a product to be directed to a manual zone and a second allocation of the a product to be directed to an AGV zone, transporting the first allocation to a manual zone, and transporting the second allocation to an AGV zone.