AI-Enabled Strategies for Sustainable Cross-Border Logistics

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Authors: Oumayma Messaoudi, Kaies Samet, Ahmed Derbel
Cited by: 1
References: 33

Abstract

This chapter examines the incorporation of the Sustainable Development Goals (SDGs) into the evolution of logistics and supply chain systems aimed at decarbonization and enduring sustainability. The analysis commences with an examination of the environmental and socio-economic challenges confronting global logistics networks, encompassing rising energy consumption, greenhouse gas emissions, resource limitations, and regulatory demands. The chapter establishes the conceptual foundations of sustainable and low-carbon logistics by analyzing key externalities linked to logistics operations, the difficulties in measuring environmental performance, and the transition from conventional linear logistics models to green, circular, and low-carbon supply chain paradigms. Emphasis is directed towards the Sustainable Development Goals (SDGs) most pertinent to logistics, namely SDG 7 , SDG 9 , SDG 11, SDG 12, SDG 13, and SDG 17.

Fields of Study & Subjects

Sustainable Supply Chain Management COVID-19 impact on air quality Digital Transformation in Industry

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
355–420
Publication date
27 March 2026
Document type
Book chapter