Enhancing Warehouse Efficiency: A Study on Storage Allocation Assignment in a Footwear Manufacturing Company

Research output: Contribution to journalConference articlepeer-review

Abstract

Efficient warehouse management relies heavily on aligning storage policies with operational strategies to minimise travel distances and improve order-picking efficiency. While storage location assignment policies provide structured frameworks for inventory organization, their impact on picking route optimisation based on real-world settings remains underexplored. This study reviews the main storage policies reported in the literature and evaluates the performance of four storage policies - Random, Class-Based, Dedicated, and Hybrid - within a dynamic warehouse environment of a shoe manufacturing company. The analysis identifies their effects on travel distances, variability, and overall efficiency by systematically comparing these policies. The results demonstrate that Dedicated and Hybrid policies consistently outperform others, with the Hybrid policy showing particular promise in environments with high product variability due to its balance between flexibility and structure. The findings offer practical insights for addressing the storage location assignment problem (SLAP) and highlight the value of integrating storage strategies to enhance warehouse operations. This research contributes to the literature by offering a comprehensive evaluation of storage policies and emphasising their role in addressing the operational challenges of modern warehouses.

Original languageEnglish
Pages (from-to)2485-2490
Number of pages6
JournalIFAC-PapersOnLine
Volume59
Issue number10
DOIs
Publication statusPublished - 1 Jul 2025
Event11th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2025 - Trondheim, Norway
Duration: 30 Jun 20253 Jul 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

!!!Keywords

  • Genetic Algorithms
  • Hybrid Storage Strategy
  • Order-picking optimisation
  • Storage Policies
  • Warehouse Management

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