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Artificial Intelligence and Robotics in Smart Sustainable Warehouses

Mariem Mrad, Younés Boujelbène

Year
2025
Citations
2

Abstract

This chapter investigates the transformative role of artificial intelligence and robotics in advancing sustainable warehousing within green supply chains. Utilizing a bibliometric analysis of 122 documents from the Scopus database (2014–2024), it examines the intersection of AI, robotics, smart technologies, sustainability, and warehousing. The analysis reveals a 19.9% compound annual growth rate in publications, highlighting key sources, contributing countries, and thematic clusters such as AI-driven optimization and robotic automation. The chapter details applications in energy management, inventory optimization, logistics efficiency, and circular economy integration, supported by case studies of industry leaders. A proposed framework offers practical strategies for adopting these technologies, while addressing challenges like high costs and data integration. Aligned with the United Nations Sustainable Development Goals, this chapter provides actionable insights for warehouse managers, researchers, and policymakers committed to low-carbon, intelligent logistics.

Keywords

Transformative learningRoboticsSustainable developmentIntersection (aeronautics)ScopusRobotKey (lock)Big data

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