Resumen: Mass customisation demand requires increasingly flexible assembly operations. For the in-plant logistics of such systems, milkrun trains could present advantages under high variability conditions. This article uses an industrial study case from a global white-goods manufacturing company. A discrete events simulation model was developed to explore the performance of multi-model assembly lines using a set of operational and logistics Key Performance Indicators. Four simulation scenarios analyse the separate effects of an increased number of product models and three different sources of variability. The results show that milkruns can protect the assembly lines from upstream process disturbances. Idioma: Inglés DOI: 10.3390/machines11010066 Año: 2023 Publicado en: Machines 11, 1 (2023), 66 [21 pp.] ISSN: 2075-1702 Factor impacto JCR: 2.1 (2023) Categ. JCR: ENGINEERING, MECHANICAL rank: 83 / 183 = 0.454 (2023) - Q2 - T2 Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 193 / 353 = 0.547 (2023) - Q3 - T2 Factor impacto CITESCORE: 3.0 - Computer Science (miscellaneous) (Q3) - Control and Systems Engineering (Q2) - Industrial and Manufacturing Engineering (Q2) - Control and Optimization (Q2) - Mechanical Engineering (Q2) - Electrical and Electronic Engineering (Q3)