A Framework for Leveraging Digital Technologies in Reverse Logistics Actions: A Systematic Literature Review

Sílvia Patrícia Rodrigues, Leonardo de Carvalho Gomes, Fernanda Araújo Pimentel Peres, Ricardo Gonçalves de Faria Correa and Ismael Cristofer Baierle ()
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Sílvia Patrícia Rodrigues: School of Engineering, Federal University of Rio Grande, Rio Grande 96203-900, Brazil
Leonardo de Carvalho Gomes: School of Engineering, Federal University of Rio Grande, Rio Grande 96203-900, Brazil
Fernanda Araújo Pimentel Peres: School of Engineering, Federal University of Rio Grande, Rio Grande 96203-900, Brazil
Ricardo Gonçalves de Faria Correa: School of Engineering, Federal University of Rio Grande, Rio Grande 96203-900, Brazil
Ismael Cristofer Baierle: School of Engineering, Federal University of Rio Grande, Rio Grande 96203-900, Brazil

Logistics, 2025, vol. 9, issue 2, 1-21

Abstract: Background : The global climate crisis has intensified the demand for sustainable solutions, positioning Reverse Logistics (RL) as a critical strategy for minimizing environmental impacts. Simultaneously, Industry 4.0 technologies are transforming RL operations by enhancing their collection, transportation, storage, sorting, remanufacturing, recycling, and disposal processes. Understanding the roles of these technologies is essential for improving efficiency and sustainability. Methods : This study employs a systematic literature review, following the PRISMA methodology, to identify key Industry 4.0 technologies applicable to RL. Publications from Scopus and Web of Science were analyzed, leading to the development of a theoretical framework linking these technologies to RL activities. Results : The findings highlight the fact that technologies like the Internet of Things (IoT), Artificial Intelligence (AI), Big Data Analytics, Cloud Computing, and Blockchain enhance RL by improving traceability, automation, and sustainability. Their application optimizes execution time, reduces operational costs, and mitigates environmental impacts. Conclusions : For the transportation and manufacturing sectors, integrating Industry 4.0 technologies into RL can streamline supply chains, enhance decision-making, and improve resource utilization. Smart tracking, predictive maintenance, and automated sorting systems reduce waste and improve operational resilience, reinforcing the transition toward a circular economy. By adopting these innovations, stakeholders can achieve economic and environmental benefits while ensuring regulatory compliance and long-term competitiveness.

Keywords: sustainable operations; waste management; smart logistics; decision support systems; sustainable supply chain; lifecycle assesment; circular economy (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2025
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