Optimizing Automated Warehouse Operations: A Novel Approach to the Correlated Storage Location Assignment Problem (CSLAP)

Warehouse operations are crucial to the efficiency and effectiveness of supply chain management. The Correlated Storage Location Assignment Problem (CSLAP) stands at the heart of modern warehousing challenges, focusing on optimizing product placement to streamline order preparation processes. This study introduces an innovative approach to CSLAP, diverging from traditional methodologies that prioritize minimizing total travel distance within warehouses. Instead, our objective is to minimize the number of stations an order must pass through, enhancing operational efficiency and reducing preparation times.

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Published
2025-06-08
DOI
https://doi.org/10.1109/sose66311.2025.11083830
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

Optimizing Automated Warehouse Operations: A Novel Approach to the Correlated Storage Location Assignment Problem (CSLAP)

Dritan Nace, Antoine Jouglet, Marwane Bouznif, Ermal Belul
Advanced Manufacturing and Logistics Optimization
article

Optimizing Automated Warehouse Operations: A Novel Approach to the Correlated Storage Location Assignment Problem (CSLAP)

Dritan Nace, Antoine Jouglet, Marwane Bouznif, Ermal Belul
article en

Abstract

Warehouse operations are crucial to the efficiency and effectiveness of supply chain management. The Correlated Storage Location Assignment Problem (CSLAP) stands at the heart of modern warehousing challenges, focusing on optimizing product placement to streamline order preparation processes. This study introduces an innovative approach to CSLAP, diverging from traditional methodologies that prioritize minimizing total travel distance within warehouses. Instead, our objective is to minimize the number of stations an order must pass through, enhancing operational efficiency and reducing preparation times.

Heuristics and Diagnostics for Complex Systems (FR), CHU Dijon Bourgogne (FR)
Openalex Percentile: Top 71%
Advanced Manufacturing and Logistics Optimization
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