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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Sílvia Patrícia Rodrigues & Leonardo de Carvalho Gomes & Fernanda Araújo Pimentel Peres & Ricardo Gonçalves de Faria Correa & Ismael Cristofer Baierle, 2025. "A Framework for Leveraging Digital Technologies in Reverse Logistics Actions: A Systematic Literature Review," Logistics, MDPI, vol. 9(2), pages 1-21, April.
    • Handle: RePEc:gam:jlogis:v:9:y:2025:i:2:p:54-:d:1635749
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    References listed on IDEAS

    as
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    2. Daniel Hoornweg & Perinaz Bhada-Tata & Chris Kennedy, 2013. "Environment: Waste production must peak this century," Nature, Nature, vol. 502(7473), pages 615-617, October.
    3. Mohammed Alkahtani & Aiman Ziout & Bashir Salah & Moath Alatefi & Abd Elatty E. Abd Elgawad & Ahmed Badwelan & Umar Syarif, 2021. "An Insight into Reverse Logistics with a Focus on Collection Systems," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    4. Saldanha-da-Gama, Francisco, 2022. "Facility Location in Logistics and Transportation: An enduring relationship," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    5. Donato Masi & Steven Day & Janet Godsell, 2017. "Supply Chain Configurations in the Circular Economy: A Systematic Literature Review," Sustainability, MDPI, vol. 9(9), pages 1-22, September.
    6. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    7. Bouzon, Marina & Govindan, Kannan & Rodriguez, Carlos Manuel Taboada, 2015. "Reducing the extraction of minerals: Reverse logistics in the machinery manufacturing industry sector in Brazil using ISM approach," Resources Policy, Elsevier, vol. 46(P1), pages 27-36.
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