Labour productivity in mixed-model manual assembly 4.0

Miqueo, A. (Universidad de Zaragoza) ; Martín, M. ; Torralba, M. ; Yagüe, J.A. (Universidad de Zaragoza)

Resumen: Manual 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.

Idioma: Inglés

DOI: 10.1088/1757-899X/1193/1/012104

Año: 2021

Publicado en: IOP conference series. Materials science and engineering 1193, 1 (2021), 012104 [9 pp.]
ISSN: 1757-8981

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.)