000112402 001__ 112402
000112402 005__ 20240319080956.0
000112402 0247_ $$2doi$$a10.3390/app12041961
000112402 0248_ $$2sideral$$a128289
000112402 037__ $$aART-2022-128289
000112402 041__ $$aeng
000112402 100__ $$aHo, Phuong Thao$$uUniversidad de Zaragoza
000112402 245__ $$aStudy of Augmented Reality based manufacturing for further integration of quality control 4.0: a systematic literature review
000112402 260__ $$c2022
000112402 5060_ $$aAccess copy available to the general public$$fUnrestricted
000112402 5203_ $$aAugmented Reality (AR) has gradually become a mainstream technology enabling Industry 4.0 and its maturity has also grown over time. AR has been applied to support different processes on the shop-floor level, such as assembly, maintenance, etc. As various processes in manufacturing require high quality and near-zero error rates to ensure the demands and safety of end-users, AR can also equip operators with immersive interfaces to enhance productivity, accuracy and autonomy in the quality sector. However, there is currently no systematic review paper about AR technology enhancing the quality sector. The purpose of this paper is to conduct a systematic literature review (SLR) to conclude about the emerging interest in using AR as an assisting technology for the quality sector in an industry 4.0 context. Five research questions (RQs), with a set of selection criteria, are predefined to support the objectives of this SLR. In addition, different research databases are used for the paper identification phase following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology to find the answers for the predefined RQs. It is found that, in spite of staying behind the assembly and maintenance sector in terms of AR-based solutions, there is a tendency towards interest in developing and implementing AR-assisted quality applications. There are three main categories of current AR-based solutions for quality sector, which are AR-based apps as a virtual Lean tool, AR-assisted metrology and AR-based solutions for in-line quality control. In this SLR, an AR architecture layer framework has been improved to classify articles into different layers which are finally integrated into a systematic design and development methodology for the development of long-term AR-based solutions for the quality sector in the future.
000112402 536__ $$9info:eu-repo/grantAgreement/EC/H2020/814225/EU/DIGItal MANufacturing Technologies for Zero-defect Industry 4.0 Production/DIGIMAN4.0$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 814225-DIGIMAN4.0
000112402 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000112402 590__ $$a2.7$$b2022
000112402 592__ $$a0.492$$b2022
000112402 591__ $$aPHYSICS, APPLIED$$b78 / 160 = 0.488$$c2022$$dQ2$$eT2
000112402 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b42 / 90 = 0.467$$c2022$$dQ2$$eT2
000112402 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b100 / 178 = 0.562$$c2022$$dQ3$$eT2
000112402 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b208 / 343 = 0.606$$c2022$$dQ3$$eT2
000112402 593__ $$aFluid Flow and Transfer Processes$$c2022$$dQ2
000112402 593__ $$aMaterials Science (miscellaneous)$$c2022$$dQ2
000112402 593__ $$aEngineering (miscellaneous)$$c2022$$dQ2
000112402 593__ $$aInstrumentation$$c2022$$dQ2
000112402 593__ $$aProcess Chemistry and Technology$$c2022$$dQ3
000112402 593__ $$aComputer Science Applications$$c2022$$dQ3
000112402 594__ $$a4.5$$b2022
000112402 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000112402 700__ $$0(orcid)0000-0003-4839-0610$$aAlbajez, José Antonio$$uUniversidad de Zaragoza
000112402 700__ $$0(orcid)0000-0001-7316-0003$$aSantolaria, Jorge$$uUniversidad de Zaragoza
000112402 700__ $$0(orcid)0000-0001-7152-4117$$aYagüe-Fabra, José A.$$uUniversidad de Zaragoza
000112402 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000112402 773__ $$g12, 4 (2022), 1961 [51 pp]$$pAppl. sci.$$tApplied Sciences (Switzerland)$$x2076-3417
000112402 8564_ $$s6763889$$uhttps://zaguan.unizar.es/record/112402/files/texto_completo.pdf$$yVersión publicada
000112402 8564_ $$s2767943$$uhttps://zaguan.unizar.es/record/112402/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000112402 909CO $$ooai:zaguan.unizar.es:112402$$particulos$$pdriver
000112402 951__ $$a2024-03-18-13:37:07
000112402 980__ $$aARTICLE