Open Access

ARTICLE

A 3-Dimensional Cargo Loading Algorithm for the Conveyor-Type Loading System

Hyeonbin Jeong¹, Young Tae Ryu², Byung Duk Song^1,*, Sang-Duck Lee^3,*

1 Department of Industrial Management Engineering, Korea University, Seoul, 02841, Republic of Korea
2 Department of Artificial Intelligence, Kyung Hee University, Gyeonggi-do, 17104, Republic of Korea
3 Advanced Logistics System Research Team, Korea Railroad Research Institute, Gyeonggi-do, 16105, Republic of Korea

* Corresponding Authors: Byung Duk Song. Email: ; Sang-Duck Lee. Email:

Computer Modeling in Engineering & Sciences 2025, 142(3), 2739-2769. https://doi.org/10.32604/cmes.2025.061639

Received 29 November 2024; Accepted 09 January 2025; Issue published 03 March 2025

Abstract

This paper proposes a novel cargo loading algorithm applicable to automated conveyor-type loading systems. The algorithm offers improvements in computational efficiency and robustness by utilizing the concept of discrete derivatives and introducing logistics-related constraints. Optional consideration of the rotation of the cargoes was made to further enhance the optimality of the solutions, if possible to be physically implemented. Evaluation metrics were developed for accurate evaluation and enhancement of the algorithm’s ability to efficiently utilize the loading space and provide a high level of dynamic stability. Experimental results demonstrate the extensive robustness of the proposed algorithm to the diversity of cargoes present in Business-to-Consumer environments. This study contributes practical advancements in both cargo loading optimization and automation of the logistics industry, with potential applications in last-mile delivery services, warehousing, and supply chain management.

---

Keywords

---