000108410 001__ 108410 000108410 005__ 20211115162713.0 000108410 0247_ $$2doi$$a10.1088/1757-899X/1193/1/012104 000108410 0248_ $$2sideral$$a125034 000108410 037__ $$aART-2021-125034 000108410 041__ $$aeng 000108410 100__ $$0(orcid)0000-0002-4148-5759$$aMiqueo, A.$$uUniversidad de Zaragoza 000108410 245__ $$aLabour productivity in mixed-model manual assembly 4.0 000108410 260__ $$c2021 000108410 5060_ $$aAccess copy available to the general public$$fUnrestricted 000108410 5203_ $$aManual assembly lines productivity is threatened by the increased complexity brought by mass customisation demand trends. Industry 4.0 offers potential solutions to address this situation, but the methodology to implement it is still a subject of study. As a preliminary step, this article aims to identify the dominant factors affecting the Key Performance Indicators of mixed-model assembly lines. To do so, parametric and discrete-events simulation models were developed, and Design of Experiments techniques were used. The results show that the key drivers for assembly line performance are number of work stations and batch size, and that increasing the work content ratio of the products assembled does not interact negatively with other factors. The results presented here pave the way for developing Industry 4.0 projects that address specifically the most relevant factors that affect assembly lines performance. 000108410 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 000108410 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000108410 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000108410 700__ $$aMartín, M. 000108410 700__ $$0(orcid)0000-0002-3069-2736$$aTorralba, M. 000108410 700__ $$0(orcid)0000-0001-7152-4117$$aYagüe, J.A.$$uUniversidad de Zaragoza 000108410 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación 000108410 773__ $$g1193, 1 (2021), 012104 [9 pp.]$$pIOP conf. ser., Mater. sci. eng.$$tIOP conference series. Materials science and engineering$$x1757-8981 000108410 8564_ $$s860719$$uhttps://zaguan.unizar.es/record/108410/files/texto_completo.pdf$$yVersión publicada 000108410 8564_ $$s1210621$$uhttps://zaguan.unizar.es/record/108410/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000108410 909CO $$ooai:zaguan.unizar.es:108410$$particulos$$pdriver 000108410 951__ $$a2021-11-15-12:19:57 000108410 980__ $$aARTICLE