A proposal for future research agenda on automated disruption management in intralogistic systems

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dc.contributor.authorOlaizola Arregui, Imanol
dc.contributor.authorMediavilla Guisasola, Miguel
dc.contributor.authorOnieva Caracuel, Enrique
dc.date.accessioned2026-05-20T14:30:45Z
dc.date.available2026-05-20T14:30:45Z
dc.date.issued2025-06-23
dc.date.updated2026-05-20T14:30:45Z
dc.description.abstractThis paper presents a systematic literature review on Automated Disruption Management (ADM) in intralogistic systems, analyzing 1.406 papers between 2018 and 2024. The review examines current approaches to managing disruptions in modern intralogistic environments, focusing on system architectures, adaptation capabilities, decision-making methods, and implementation aspects. Through a structured analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, we identify several critical gaps in current research, particularly in handling multiple simultaneous disruptions, integrating predictive capabilities with real-time adaptation, and validating theoretical developments in real-world settings. Our findings reveal a significant trend toward Reinforcement Learning (RL) approaches and an observable evolution from traditional Automated Guided Vehicles (AGV) to more flexible Autonomous Mobile Robot (AMR) solutions. Also, our work revealed the need for more integrated approaches that can handle multiple disruption types simultaneously while maintaining system performance, particularly in complex industrial environments. Moreover, the analysis also shows a considerable gap between theoretical development and practical implementation, with very few papers reporting real-world testing results. This review contributes to the field by providing a comprehensive taxonomy of current approaches, identifying critical research gaps, and proposing a specific research agenda in the field for future research.en
dc.identifier.citationOlaizola-Arregui, I., Mediavilla, M., & Onieva, E. (2025). A proposal for future research agenda on automated disruption management in intralogistic systems. IEEE Access, 13, 104368-104381. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2025.3578757
dc.identifier.doi10.1109/ACCESS.2025.3578757
dc.identifier.eissn2169-3536
dc.identifier.urihttps://hdl.handle.net/20.500.14454/6031
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights© 2025 The Authors
dc.subject.otherAutomated disruption management
dc.subject.otherIndustry 4.0
dc.subject.otherIntralogistic
dc.subject.otherReinforcement learning
dc.subject.otherSystematic review
dc.titleA proposal for future research agenda on automated disruption management in intralogistic systemsen
dc.typereview article
dcterms.accessRightsopen access
oaire.citation.endPage104381
oaire.citation.startPage104368
oaire.citation.titleIEEE Access
oaire.citation.volume13
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc-nd/4.0/
oaire.versionVoR
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