Work

Computational Ergo-Design for a Real-Time Baggage Handling System in an Airport

Year: 2025

Type: article

Abstract: Despite the growing importance of human-centered design and ergonomics in various fields, a significant gap exists in applying these principles to robotic systems in airport environments. This paper focuses on a real-time baggage handling monitoring system by proposing a computational ergo-design approach. It presents the optimal system architecture for real-time baggage handling. The proposed architecture, called ARTEMIS (ARchitecture for real-TimE baggage handling and MonitorIng System), is designed for real-time baggage handling and monitoring. The circuit modeling is carried out using a directed graph. Five strategies are simulated to test their effectiveness and evaluate their performance within the system. A simulation that generates key indicators enables preliminary visualization and analysis of AGV behavior through predefined scenarios. These results are presented through an intuitive and ergonomic user interface, designed with a focus on user–computer interaction as a problem-solving process centered on the user’s experience. The results show that, if the goal is to balance energy efficiency with effective baggage handling, the Mixed Advance/Delay Strategy appears to be the best overall choice, as it optimizes both energy consumption and baggage handling while maintaining relatively low waiting times. However, if minimizing queue time and maximizing baggage collection are the highest priorities (with less emphasis on energy efficiency), the Turnstile Strategy remains a solid option. In addition, the simulations show that the operator plays a central role in minimizing delays and ensuring the smooth operation of the system. Both local and global system failures depend heavily on the operator’s response time, decision-making, and overall efficiency. Therefore, operator efficiency and a well-designed support system are critical to maintaining a smooth and effective baggage handling process.

Source: Sustainability

DOI: 10.3390/su17093794

Authors: Ouzna Oukacha, Alain-Jérôme Fougères, Moïse Djoko-Kouam, Egon Ostrosi

Institutions: ECAM Rennes Louis de Broglie, Centre National de la Recherche Scientifique, Institut d'Électronique et des Technologies du numéRique, CentraleSupélec, Université de technologie de belfort-montbéliard

Language: English

Topic: Advanced Manufacturing and Logistics Optimization

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896