Logo do repositório
 
Publicação

Big Data Life Cycle in Shop-Floor-Trends and Challenges

2023-03-06Recensão Acesso aberto
Ver registo simples
dc.contributor.authorPulikottil, Terrin
dc.contributor.authorEstrada-Jimenez, Luis A.
dc.contributor.authorAbadia, José Joaquín Peralta
dc.contributor.authorCarrera-Rivera, Angela
dc.contributor.authorTorayev, Agajan
dc.contributor.authorRehman, Hamood Ur
dc.contributor.authorMo, Fan
dc.contributor.authorNikghadam-Hojjati, Sanaz
dc.contributor.authorBarata, José
dc.contributor.institutionDEE - Departamento de Engenharia Electrotécnica e de Computadores
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionDEE2010-C2 Robótica e Manufactura Integrada por Computador
dc.contributor.pblInstitute of Electrical and Electronics Engineers (IEEE)
dc.date.accessioned2023-07-11T22:21:51Z
dc.date.available2023-07-11T22:21:51Z
dc.date.issued2023-03-06
dc.descriptionPublisher Copyright: © 2013 IEEE.
dc.description.abstractBig data is defined as a large set of data that could be structured or unstructured. In manufacturing shop-floor, big data incorporates data collected at every stage of the production process. This includes data from machines, connecting devices, and even manufacturing operators. The large size of the data available on the manufacturing shop-floor presents a need for the establishment of tools and techniques along with associated best practices to leverage the advantage of data-driven performance improvement and optimization. There also exists a need for a better understanding of the approaches and techniques at various stages of the data life cycle. In the work carried out, the data life-cycle in shop-floor is studied with a focus on each of the components -Data sources, collection, transmission, storage, processing, and visualization. A narrative literature review driven by two research questions is provided to study trends and challenges in the field. The selection of papers is supported by an analysis of n-grams. Those are used to comprehensively characterize the main technological and methodological aspects and as starting point to discuss potential future research directions. A detailed review of the current trends in different data life cycle stages is provided. In the end, the discussion of the existing challenges is also presented.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent19
dc.format.extent4735359
dc.identifier.doi10.1109/ACCESS.2023.3253286
dc.identifier.issn2169-3536
dc.identifier.otherPURE: 65873325
dc.identifier.otherPURE UUID: 95e3302b-7f8d-4689-93a6-9ce15d7c18e5
dc.identifier.otherScopus: 85149870423
dc.identifier.otherWOS: 000967272300001
dc.identifier.urihttp://hdl.handle.net/10362/155101
dc.identifier.urlhttps://www.scopus.com/pages/publications/85149870423
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/814078/EU
dc.relationDigital Manufacturing and Design Training Network
dc.subjectBig data
dc.subjectdata life cycle
dc.subjectintelligent manufacturing
dc.subjectliterature review
dc.subjectmachine learning
dc.subjectGeneral Computer Science
dc.subjectGeneral Materials Science
dc.subjectGeneral Engineering
dc.titleBig Data Life Cycle in Shop-Floor-Trends and Challengesen
dc.typereview
degois.publication.firstPage30008
degois.publication.lastPage30026
degois.publication.titleIEEE Access
degois.publication.volume11
dspace.entity.typePublication
oaire.awardNumber814078
oaire.awardTitleDigital Manufacturing and Design Training Network
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/814078/EU
oaire.fundingStreamH2020
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccess
relation.isProjectOfPublication823cf1cd-cc3c-4a12-b05e-1126a83cae10
relation.isProjectOfPublication.latestForDiscovery823cf1cd-cc3c-4a12-b05e-1126a83cae10

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
Big_Data_Life_Cycle_in_Shop_Floor_Trends.pdf
Tamanho:
4.52 MB
Formato:
Adobe Portable Document Format
Ver/Abrir

Coleções

Home collection (FCT)