000121198 001__ 121198
000121198 005__ 20230706131708.0
000121198 0247_ $$2doi$$a10.1016/j.procir.2022.05.175
000121198 0248_ $$2sideral$$a131856
000121198 037__ $$aART-2022-131856
000121198 041__ $$aeng
000121198 100__ $$0(orcid)0000-0002-4148-5759$$aMiqueo, Adrian$$uUniversidad de Zaragoza
000121198 245__ $$aModels to evaluate the performance of high-mix low-volume manual or semi-automatic assembly lines
000121198 260__ $$c2022
000121198 5060_ $$aAccess copy available to the general public$$fUnrestricted
000121198 5203_ $$aTo address mass customisation demand trends, assembly line flexibility and productivity are critical. Industry 4.0 technologies could support assembly operations to this end. However, clear implementation methodologies are still lacking. This article presents two models for evaluating the most relevant Key Performance Indicators (KPIs) of manual or semi-automatic assembly lines, allowing to maximise the return of investment of any digital technology addition. MATLAB® was used to implement a parametric model, and FlexSim® was employed to build a discrete event simulation model. The models were validated using data of two industrial study cases from a global white goods manufacturer.
000121198 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
000121198 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000121198 592__ $$a0.583$$b2022
000121198 593__ $$aIndustrial and Manufacturing Engineering$$c2022
000121198 593__ $$aControl and Systems Engineering$$c2022
000121198 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000121198 700__ $$0(orcid)0000-0002-3069-2736$$aTorralba, Marta
000121198 700__ $$0(orcid)0000-0001-7152-4117$$aYagüe-Fabra, José A.$$uUniversidad de Zaragoza
000121198 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000121198 773__ $$g107 (2022), 1461-1466$$pProcedia CIRP$$tProcedia CIRP$$x2212-8271
000121198 8564_ $$s886852$$uhttps://zaguan.unizar.es/record/121198/files/texto_completo.pdf$$yVersión publicada
000121198 8564_ $$s2845633$$uhttps://zaguan.unizar.es/record/121198/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000121198 909CO $$ooai:zaguan.unizar.es:121198$$particulos$$pdriver
000121198 951__ $$a2023-07-06-12:24:15
000121198 980__ $$aARTICLE