doi:10.3390/machines11010066engMiqueo, AdrianGracia-Cadarso, MarcosTorralba, MartaGil-Vilda, FranciscoYagüe-Fabra, José AntonioMulti-Model In-Plant Logistics Using Milkruns for Flexible Assembly Systems under Disturbances: An Industry Study CaseART-2023-131736Mass 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.2023http://zaguan.unizar.es/record/12134510.3390/machines11010066http://zaguan.unizar.es/record/121345oai:zaguan.unizar.es:121345info:eu-repo/grantAgreement/EC/H2020/814225/EU/DIGItal MANufacturing Technologies for Zero-defect Industry 4.0 Production/DIGIMAN4.0This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 814225-DIGIMAN4.0Machines 11, 1 (2023), 66 [21 pp.]byhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccess