Warehouse Tote Recommendation for Robot Order Set Fit

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Solution Overview

Problem

In warehouse order fulfillment operations, there is a need to optimize the selection of totes based on order sets assigned to robots to prevent inefficiencies and errors, such as using the wrong number or size of totes, which can lead to reduced efficiency and increased correction needs during the picking process.

Innovation Solution

A method and system that recommend a tote type to operators based on characteristics of the order set, such as dimensions, volume, and number of orders, by grouping orders and identifying a preferred tote type through a processor that communicates with the warehouse management system to ensure the correct tote is selected for each robot.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual tote selection is performed by operators during induction, then flexibility in tote assignment is maintained, but errors occur in selecting the wrong number or size of totes

Engineering Contradiction:
Improvetote selection accuracyVSAvoidmanual selection complexity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system performs self-service by automatically determining the optimal tote configuration based on order set characteristics. The processor analyzes order dimensions, volumes, and quantities to autonomously select appropriate tote types, eliminating reliance on manual operator judgment and reducing selection errors.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements feedback by continuously monitoring order set characteristics and adjusting tote recommendations accordingly. The processor evaluates order data and provides real-time recommendations to operators, creating a closed-loop system that improves selection accuracy through data-driven feedback.

Inventive Principle:
Principle #23Feedback

2Productivity

If operators manually select totes without system guidance, then operational flexibility is maintained, but inefficiencies arise from suboptimal tote choices

Engineering Contradiction:
Improvewarehouse fulfillment efficiencyVSAvoidtote selection process complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary action by pre-calculating the optimal tote configuration before the picking process begins. The processor analyzes order set characteristics in advance and recommends the most suitable tote types, allowing operators to make informed selections before robots are assigned to orders.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system acts as an intermediary by providing a recommendation layer between the order management system and the physical totes. The processor serves as a mediator that translates order requirements into appropriate tote selections, guiding operators without completely automating the selection process.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Loss of time

If totes are not optimized for order sets, then any tote can be used regardless of fit, but corrections are needed during the picking process

Engineering Contradiction:
Improvecorrection time during pickingVSAvoidautomated recommendation system
Core Design Contradiction:
Loss of timeVSExtent of automation

Solution Approach 1:

The system performs preliminary validation by assessing tote-order compatibility before the picking process begins. The processor evaluates whether recommended totes are suitable for the specific order set characteristics, preventing mismatches that would require corrections during picking and reducing time loss.

Inventive Principle:
Principle #10Preliminary action

4Productivity

If robots are assigned to orders in low-activity warehouse locations, then order fulfillment can proceed, but robots sit idle for extended periods

Engineering Contradiction:
Improverobot utilization efficiencyVSAvoidrobot idle time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system applies local quality by considering the specific characteristics of different warehouse locations when making tote recommendations. The processor takes into account robot activity levels at various locations and adjusts recommendations to optimize robot utilization, ensuring that robots in low-activity areas receive appropriate task assignments.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS10994933B2Optimized tote recommendation process in warehouse order fulfillment operations
Publication Date: 2021.05.04 LOCUS ROBOTICS CORP
  • US10994933B2 patent drawing
  • US10994933B2 patent drawing
  • US10994933B2 patent drawing

AI summary

A method for recommending a tote type for an operator to select for use in robot induction process, wherein the robot operates under the control of a warehouse management system to fulfill orders, each order including one or more items and each item being located in a warehouse. The method includes grouping one or more orders from an order queue to form at least one order set. The method also includes identifying, based on a characteristic of the at least one order set, a preferred tote type to be assigned to the robot to carry the order set on the robot. The method further includes communicating to an operator the preferred tote type to enable the operator to select from a plurality of totes a tote of the preferred tote type to assign to the robot for execution of the order.