The SuLo Framework: A Systematic Literature Review of Drivers and Barriers to Sustainable Logistics Practices

Sara Turki Abu Tabanjeh (), Christoph Pott and Christopher Reining
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Sara Turki Abu Tabanjeh: Department of Mechanical Engineering, TU Dortmund University, 44227 Dortmund, Germany
Christoph Pott: Department of Mechanical Engineering, TU Dortmund University, 44227 Dortmund, Germany
Christopher Reining: Department of Mechanical Engineering, TU Dortmund University, 44227 Dortmund, Germany

Sustainability, 2025, vol. 17, issue 12, 1-33

Abstract: This contribution presents the SuLo (Sustainable Logistics) framework developed through a systematic literature review of the drivers and barriers to implementing sustainable sustainability in logistics, with a focus on warehousing. As global trade expands, logistics operations face increasing pressure to balance economic efficiency with environmental and social responsibility. Warehousing plays a crucial role in supply chains, contributing significantly to energy consumption and greenhouse gas emissions. Despite growing interest in sustainable logistics, research on sustainable warehousing remains fragmented. This paper synthesizes the existing literature to identify key drivers, barriers, and best practices for sustainable warehousing. The findings reveal that regulatory policies, cost savings, and stakeholder expectations are primary drivers, while high implementation costs, lack of awareness, and operational complexity hinder progress. A structured framework is proposed to guide sustainability integration, incorporating renewable energy, waste reduction, automation, and employee well-being initiatives. The study highlights the necessity of a holistic approach that aligns environmental, economic, and social dimensions. While challenges remain, sustainable warehousing offers long-term benefits, including reduced environmental impact, improved operational efficiency, and enhanced corporate reputation. In conclusion, future research should explore empirical case studies and technological innovations, particularly artificial intelligence, to further advance sustainability in warehousing.

Keywords: sustainability; logistics; warehousing; social responsibility; ecology; drivers and barriers; sustainable practices; holistic framework (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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