000108358 001__ 108358
000108358 005__ 20211115162710.0
000108358 0247_ $$2doi$$a10.1088/1757-899X/1193/1/012105
000108358 0248_ $$2sideral$$a125032
000108358 037__ $$aART-2021-125032
000108358 041__ $$aeng
000108358 100__ $$aHo, P.T.$$uUniversidad de Zaragoza
000108358 245__ $$aPreliminary study of Augmented Reality based manufacturing for further integration of Quality Control 4.0 supported by metrology
000108358 260__ $$c2021
000108358 5060_ $$aAccess copy available to the general public$$fUnrestricted
000108358 5203_ $$aAugmented Reality (AR) is a key technology enabling Industry 4.0, which enriches human perspectives by overlaying digital information onto the real world. The maturity of AR technology has grown recently. As processes in the automotive and aeronautic sectors require high quality and near-zero error rates to ensure the safety of end-users, AR can be implemented to facilitate workers with immersive interfaces to enhance productivity, accuracy and autonomy in the quality sector. In order to analyse whether there is a real and growing interest in the use of AR as assisting technology for manufacturing sector in general and quality control in particular, two specific research questions are defined. In addition, two well-known research databases (Scopus, Web of Science) are used for the paper selection phase in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to conduct a preliminary study and evaluate the current development of AR applications in manufacturing sector in order to answer the defined questions. It is found that while the development of AR technology has widely implemented to assign real-time information to several systems and processes in assembly and maintenance sectors, this tendency has only emerged in the quality sector over the last few years. However, AR-based quality control has proved its advantages in improving productivity, accuracy and precision of operators as well as benefits to manufacturing in terms of product and process quality control across different manufacturing phases.
000108358 536__ $$9info:eu-repo/grantAgreement/EC/H2020/814225/EU/DIGItal MANufacturing Technologies for Zero-defect Industry 4.0 Production/DIGIMAN4.0$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 814225-DIGIMAN4.0
000108358 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000108358 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000108358 700__ $$0(orcid)0000-0003-4839-0610$$aAlbajez, J.A.$$uUniversidad de Zaragoza
000108358 700__ $$0(orcid)0000-0001-7152-4117$$aYagüe, J.A.$$uUniversidad de Zaragoza
000108358 700__ $$0(orcid)0000-0001-7316-0003$$aSantolaria, J.$$uUniversidad de Zaragoza
000108358 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000108358 773__ $$g1193 (2021), 012105 [9 pp.]$$pIOP conf. ser., Mater. sci. eng.$$tIOP conference series. Materials science and engineering$$x1757-8981
000108358 8564_ $$s631807$$uhttps://zaguan.unizar.es/record/108358/files/texto_completo.pdf$$yVersión publicada
000108358 8564_ $$s1257174$$uhttps://zaguan.unizar.es/record/108358/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000108358 909CO $$ooai:zaguan.unizar.es:108358$$particulos$$pdriver
000108358 951__ $$a2021-11-15-12:18:32
000108358 980__ $$aARTICLE