Models to evaluate the performance of high-mix low-volume manual or semi-automatic assembly lines
Miqueo, Adrian (Universidad de Zaragoza) ; Torralba, Marta ; Yagüe-Fabra, José A. (Universidad de Zaragoza)
Resumen: 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.
Idioma: Inglés
DOI: 10.1016/j.procir.2022.05.175
Año: 2022
Publicado en: Procedia CIRP 107 (2022), 1461-1466
ISSN: 2212-8271
Factor impacto SCIMAGO: 0.583 - Industrial and Manufacturing Engineering - Control and Systems Engineering
Financiación: info:eu-repo/grantAgreement/EC/H2020/814225/EU/DIGItal MANufacturing Technologies for Zero-defect Industry 4.0 Production/DIGIMAN4.0
Tipo y forma: Article (Published version)
Área (Departamento): Área Ing. Procesos Fabricación (Dpto. Ingeniería Diseño Fabri.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
Exportado de SIDERAL (2023-07-06-12:24:15)
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Idioma: Inglés
DOI: 10.1016/j.procir.2022.05.175
Año: 2022
Publicado en: Procedia CIRP 107 (2022), 1461-1466
ISSN: 2212-8271
Factor impacto SCIMAGO: 0.583 - Industrial and Manufacturing Engineering - Control and Systems Engineering
Financiación: info:eu-repo/grantAgreement/EC/H2020/814225/EU/DIGItal MANufacturing Technologies for Zero-defect Industry 4.0 Production/DIGIMAN4.0
Tipo y forma: Article (Published version)
Área (Departamento): Área Ing. Procesos Fabricación (Dpto. Ingeniería Diseño Fabri.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. Exportado de SIDERAL (2023-07-06-12:24:15)
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Este artículo se encuentra en las siguientes colecciones:
Articles > Artículos por área > Ingeniería de los Procesos de Fabricación
Record created 2023-01-11, last modified 2023-07-06