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A novel framework for automated warehouse layout generation.

Atefeh Shahroudnejad1, Payam Mousavi1, Oleksii Perepelytsia2

  • 1Amii (Alberta Machine Intelligence Institute), Advanced Technology Department, Edmonton, AB, Canada.

Frontiers in Artificial Intelligence
|October 30, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an AI framework for automated warehouse layout generation, optimizing efficiency and productivity. The system uses constrained beam search to create feasible and optimal warehouse designs, aiding human decision-making.

Keywords:
AIautomationconstrained optimizationlogisticswarehouse design

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Area of Science:

  • Operations Research
  • Artificial Intelligence
  • Industrial Engineering

Background:

  • Warehouse layout significantly impacts operational efficiency and productivity.
  • Manual warehouse design is time-consuming and may not explore all optimal solutions.

Purpose of the Study:

  • To develop an AI-driven framework for automated warehouse layout generation.
  • To optimize warehouse layouts considering spatial parameters and functional requirements.

Main Methods:

  • Employed constrained beam search algorithm for layout generation.
  • Incorporated feasibility checks for item accessibility, clearances, and aisle connectivity.
  • Utilized a scoring function to evaluate layouts based on storage, access, and costs.

Main Results:

  • Successfully generated feasible and optimal warehouse layouts for diverse warehouse dimensions, shapes, and door configurations.
  • Demonstrated the framework's ability to adhere to functional requirements and spatial constraints.
  • The AI approach facilitates rapid exploration and confirmation of layout options.

Conclusions:

  • The AI-driven framework offers an efficient method for optimizing warehouse layouts.
  • This automated approach supports human designers in selecting the most suitable warehouse design.
  • The system enhances warehouse planning by providing feasible and cost-effective layout solutions.