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dc.contributor.authorSerey, Joel
dc.contributor.authorAlfaro, Miguel
dc.contributor.authorFuertes, Guillermo
dc.contributor.authorVargas, Manuel
dc.contributor.authorTernero, Rodrigo
dc.contributor.authorDuran, Claudia
dc.contributor.authorSabattin, Jorge
dc.contributor.authorGutierrez, Sebastian
dc.date.accessioned2024-04-10T00:44:53Z
dc.date.available2024-04-10T00:44:53Z
dc.date.issued2023
dc.identifier10.3390/pr11102973
dc.identifier.issn22279717
dc.identifier.urihttps://hdl.handle.net/20.500.12728/10507
dc.description.abstractDespite growing interest in smart manufacturing, there is little information on how organizations can approach the alignment of strategic processes with Industry 4.0. This study seeks to fill this knowledge gap by developing a framework for the integration of Industry 4.0 techniques and artificial intelligence systems. This framework will serve as a conceptual guide in the digital transformation processes toward Industry 4.0. This study involved a systematic literature review of the important methodological proposals and identification of thematic axes, research topics, strategic objectives, challenges, drivers, technological trends, models, and design architectures. In total, 160 articles were selected (120 were published between 2017 and 2022). The results provide insights into the prospects for strategic alignment in the adoption of Industry 4.0. The conceptualization of the framework shows that Industry 4.0 needs strategic adjustments mainly in seven objectives (business model, change mindset, skills, human resources, service level, ecosystem, interconnection, and absorption capacity) derived from 10 thematic axes and 28 research topics. Understanding the strategic adoption of Industry 4.0 and artificial intelligence is vital for industrial organizations to stay competitive and relevant in a constantly evolving business landscape. © 2023 by the authors.es_ES
dc.description.sponsorshipDepartment of Industrial Engineering; Universidad de Santiago de Chile; Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT, (11200993); Departamento de Investigaciones Científicas y Tecnológicas, Universidad de Santiago de Chile, DICYT; Shandong Academy of Agricultural Sciences, SAAS, (21CVID-171949, SUC220081)es_ES
dc.language.isoenes_ES
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)es_ES
dc.subjectbusiness modelses_ES
dc.subjectdigitalizationes_ES
dc.subjectenterprise integrationes_ES
dc.subjectIndustry 4.0es_ES
dc.subjectstrategic planninges_ES
dc.titleFramework for the Strategic Adoption of Industry 4.0: A Focus on Intelligent Systemses_ES
dc.typeArticlees_ES


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