Towards Human-Centric Warehousing 5.0 to Improve Sustainable Operations: An AHP Approach to Evaluate Adoption Criteria

Alinet Fernandez, Amely Cuadros, Phillip Coles, Edgar Ramos, Ángel Hurtado

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This article aims to identify the key criteria influencing the impact of Warehousing 5.0 on sustainability and operational efficiency, focusing on a human-centered approach within logistics through the application of the Analytical Hierarchy Process (AHP). Warehousing 5.0 represents a paradigm shift, integrating advanced automation with human collaboration to enhance ergonomics, efficiency, and environmental responsibility. Historically centered on storage and distribution, warehouses are increasingly integrating advanced technology that enhances operations while emphasizing employee welfare and safety. To accomplish this, we formulated and organized essential adoption criteria within a comprehensive framework. An examination of the literature underscores the enhancement of precision, variety, and adaptability through intelligent automation and collaborative robots while simultaneously alleviating physical and cognitive burdens on workers. We utilized the AHP methodology to rank the most impactful criteria, recognizing Intelligent Automation (37%) and Energy Efficiency (46%) as primary priorities. The results show how important it is to balance efficiency, sustainability, and employee well-being, connecting warehouse management with the ideas behind Industry 5.0 and new logistics technologies.

Idioma originalInglés
Título de la publicación alojadaIntelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference
EditoresCengiz Kahraman, Basar Oztaysi, Selcuk Cebi, Sezi Cevik Onar, Cagri Tolga, Irem Ucal Sari, Irem Otay
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas501-508
Número de páginas8
ISBN (versión impresa)9783031983030
DOI
EstadoPublicada - 2025
Evento7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 - Istanbul, Turquía
Duración: 29 jul. 202531 jul. 2025

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen1531 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025
País/TerritorioTurquía
CiudadIstanbul
Período29/07/2531/07/25

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