CPU-Based Layout Design for Picker-to-Parts Pallet Warehouses

Fuente: arXiv
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Main Authors: Looms, Timo, Xie, Lin
Format: Preprint
Published: 2025
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author Looms, Timo
Xie, Lin
author_facet Looms, Timo
Xie, Lin
contents Picker-to-parts pallet warehouses often face inefficiencies due to conventional layouts causing excessive travel distances and high labor requirements. This study introduces a novel layout design inspired by CPU architecture, partitioning warehouse space into specialized zones, namely Performance (P), Efficiency (E), and Shared (S). Discrete-event simulation is used to evaluate this design against traditional rectangular (random and ABC storage) and Flying-V layouts. Results demonstrate significant improvements in throughput time and reduced labor requirements, highlighting the potential for CPU-based layouts in optimizing warehouse operations.
format Preprint
id arxiv_https___arxiv_org_abs_2506_04266
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle CPU-Based Layout Design for Picker-to-Parts Pallet Warehouses
Looms, Timo
Xie, Lin
Multiagent Systems
Hardware Architecture
Picker-to-parts pallet warehouses often face inefficiencies due to conventional layouts causing excessive travel distances and high labor requirements. This study introduces a novel layout design inspired by CPU architecture, partitioning warehouse space into specialized zones, namely Performance (P), Efficiency (E), and Shared (S). Discrete-event simulation is used to evaluate this design against traditional rectangular (random and ABC storage) and Flying-V layouts. Results demonstrate significant improvements in throughput time and reduced labor requirements, highlighting the potential for CPU-based layouts in optimizing warehouse operations.
title CPU-Based Layout Design for Picker-to-Parts Pallet Warehouses
topic Multiagent Systems
Hardware Architecture
url https://arxiv.org/abs/2506.04266