Transshipment Point Design – Enabling Cooperative Vehicle Routing

Efficient loading and unloading of trucks is a key challenge in logistics, where long turnaround times and space constraints often limit system performance. Existing solutions either focus on full truckload automation from the rear or rely on forklift-based side access, both of which lack the flexibility and space efficiency required at transshipment points. To address this gap, this paper introduces a novel concept for autonomous side-loading and unloading of boxed pallets using an overhead crane system. The prototype integrates standardized industrial components with custom-designed load handling devices and an AI-based control system capable of detecting, localizing, and handling boxed pallets without human intervention. In addition to the technical realization, an analytical performance estimation model is developed to quantify travel times and reshuffling operations during pallet transfers. The model explicitly accounts for load security requirements, which distinguish truck-based reshuffling from warehouse-based multi-deep storage systems. Results provide a framework for evaluating the efficiency of the proposed system and offer insights for the design and operation of future automated transshipment points.

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Publication Details

Journal
Logistics Journal Proceedings
Published
2025-09-12
DOI
https://doi.org/10.2195/lj_proc_lehmann_en_202510_02
Primary Topic
Animal Disease Management and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Transshipment Point Design – Enabling Cooperative Vehicle Routing

Logistics Journal Proceedings
Animal Disease Management and Epidemiology
article

Transshipment Point Design – Enabling Cooperative Vehicle Routing

article en

Abstract

Efficient loading and unloading of trucks is a key challenge in logistics, where long turnaround times and space constraints often limit system performance. Existing solutions either focus on full truckload automation from the rear or rely on forklift-based side access, both of which lack the flexibility and space efficiency required at transshipment points. To address this gap, this paper introduces a novel concept for autonomous side-loading and unloading of boxed pallets using an overhead crane system. The prototype integrates standardized industrial components with custom-designed load handling devices and an AI-based control system capable of detecting, localizing, and handling boxed pallets without human intervention. In addition to the technical realization, an analytical performance estimation model is developed to quantify travel times and reshuffling operations during pallet transfers. The model explicitly accounts for load security requirements, which distinguish truck-based reshuffling from warehouse-based multi-deep storage systems. Results provide a framework for evaluating the efficiency of the proposed system and offer insights for the design and operation of future automated transshipment points.

Logistics Journal Proceedings
Kentucky imaging Technologies (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Animal Disease Management and Epidemiology
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