121198 20230706131708.0 doi 10.1016/j.procir.2022.05.175 sideral 131856 ART-2022-131856 eng Miqueo, Adrian Universidad de Zaragoza (orcid)0000-0002-4148-5759 Models to evaluate the performance of high-mix low-volume manual or semi-automatic assembly lines 2022 Access copy available to the general public Unrestricted To 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. info:eu-repo/grantAgreement/EC/H2020/814225/EU/DIGItal MANufacturing Technologies for Zero-defect Industry 4.0 Production/DIGIMAN4.0 This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 814225-DIGIMAN4.0 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 0.583 2022 Industrial and Manufacturing Engineering 2022 Control and Systems Engineering 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Torralba, Marta (orcid)0000-0002-3069-2736 Yagüe-Fabra, José A. Universidad de Zaragoza (orcid)0000-0001-7152-4117 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 107 (2022), 1461-1466 Procedia CIRP Procedia CIRP 2212-8271 886852 http://zaguan.unizar.es/record/121198/files/texto_completo.pdf Versión publicada 2845633 http://zaguan.unizar.es/record/121198/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:121198 articulos driver 2023-07-06-12:24:15 ARTICLE