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Service-Oriented Architecture for Decision Support in Industrial Life-Cycle Management

2026-03-27Artigo científico Acesso aberto
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dc.contributor.authorNeves-Silva, Rui
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2026-06-11T11:56:01Z
dc.date.available2026-06-11T11:56:01Z
dc.date.issued2026-03-27
dc.descriptionPublisher Copyright: © 2026 by the author.
dc.description.abstractManufacturing enterprises face increasing complexity in managing the complete life cycle of production systems, requiring integration of information from diverse sources to support timely maintenance, diagnostics, and operational decisions. This paper presents a comprehensive service-oriented architecture (SOA) for decision support in industrial life-cycle management, integrating real-time monitoring, predictive maintenance, and collaborative problem-solving across extended manufacturing enterprises. The architecture implements a three-layer service model comprising eight core collaborative services, three application services, and six life-cycle management services, orchestrated through a risk assessment module that monitors life-cycle parameters and triggers appropriate maintenance, diagnostics, or hazard prevention actions. The system was developed in the context of a European research project and validated in two industrial settings: automotive assembly lines at a German SME and air conditioning manufacturing at a Portuguese company. Results demonstrated substantial operational improvements, including reduced problem resolution time, lower diagnostic travel requirements, reduced spare-parts consumption, and increased structured problem registration. The original SOAP-based web-services implementation is further contextualized within the contemporary Industry 4.0 landscape through comparison with microservices architectures and discussion of integration paths involving OPC UA, Asset Administration Shells, and digital twins. The paper contributes a validated reference architecture for service-based industrial life-cycle management and clarifies its relevance as an early precursor of contemporary smart manufacturing approaches.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent36
dc.format.extent1094101
dc.identifier.doi10.3390/pr14071088
dc.identifier.issn2227-9717
dc.identifier.otherPURE: 163598229
dc.identifier.otherPURE UUID: 780dce27-674c-4480-aeb2-c41468c60819
dc.identifier.otherScopus: 105035958920
dc.identifier.otherWOS: 001738630600001
dc.identifier.otherORCID: /0000-0003-1338-0287/work/217465916
dc.identifier.urihttp://hdl.handle.net/10362/203734
dc.identifier.urlhttps://www.scopus.com/pages/publications/105035958920
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001738630600001
dc.language.isoeng
dc.peerreviewedyes
dc.subjectDecision support systems
dc.subjectDigital twins
dc.subjectIndustry 4.0
dc.subjectLife-cycle management
dc.subjectManufacturing
dc.subjectMicroservices
dc.subjectPredictive maintenance
dc.subjectService-oriented architecture
dc.subjectBioengineering
dc.subjectChemical Engineering (miscellaneous)
dc.subjectProcess Chemistry and Technology
dc.titleService-Oriented Architecture for Decision Support in Industrial Life-Cycle Managementen
dc.title.subtitleDesign, Implementation, and Evaluationen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue7
degois.publication.lastPage36
degois.publication.titleProcesses
degois.publication.volume14
dspace.entity.typePublication
rcaap.rightsopenAccess

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