Integrating Material Handling Machines into an AI-Focused Framework

Abstract:

Intralogistics, involving the internal flow of goods and materials within warehouses and production facilities, plays a critical role in modern supply chains. The increasing complexity and diversity of material handling machines and warehousing environments present significant challenges in optimizing these systems. Traditional methods often fail to effectively integrate the wide range of machinery and dynamic warehousing conditions. This article first provides an overview of the current material handling systems, the latest trends and the applicable intelligent software and hardware components. Next, necessity of an AI-focused framework is justified. Finally, a customized AI-focused framework is presented for a material handling and warehousing case. Applicability of the framework is demonstrated through a graph-matching example. The paper ends with a summary and outlook section.

• Periodical: Advances in Science and Technology (Volume 165)
• Pages: 263-269
• DOI: https://doi.org/10.4028/p-w1HVfM
• Online since: June 2025
• Authors: Gábor Bohács, Hizba Muhammad Sadida*
• Keywords: Graph Matching, Intralogistics, Material Handling Machines, Warehousing

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