Titelangaben
Grenzfurtner, Wolfgang ; Pichler, Elena ; Gronalt, Manfred:
Increasing the output of prefab production lines : simulation aid to guide the improvement process.
In: Affenzeller, Michael ; Bruzzone, Agostino G. ; Jimenez, Emilio ; Longo, Francesco ; Petrillo, Antonella
(Hrsg.):
Proceedings of the 35th European Modeling & Simulation Symposium (EMSS 2023). -
Athens, Greece
,
2023
. - S. 199-212
ISBN 978-88-85741-87-4
DOI: https://doi.org/10.46354/i3m.2023.emss.037
Angaben zu Projekten
Projekttitel: |
Offizieller Projekttitel Projekt-ID Digital Twin for the optimized production of prefabricated houses Ohne Angabe |
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Projektfinanzierung: |
Andere Diese Arbeit wurde vom COMET-K2 Center des Linz Center of Mechatronics (LCM), das durch die österreichische Bundesregierung und das Bundesland Oberösterreich gefördert wird, unterstützt. |
Abstract
Wall element production in industrialised prefabrication is a special form of mixed model assembly line, where all the different walls needed to assemble a house on site are usually prefabricated on one or more lines. Each wall has different characteristics that affect the execution time of the activities at each work station. Special attention must be paid to the modelling of the design variants in order to avoid erroneous conclusions when analysing these mixed-model assembly lines. This paper presents an example of the application of bottleneck analysis in mixed-model assembly line production by modelling this specific production process, and shows how to link the data describing the product characteristics with the processes in the discrete event simulation model build with SIMIO. Finally, the model was tested with several scenarios concerning the baseline scenario as well as material and sequence changes in the process and the flexibilisation of employee allocation. Finally, the model was validated using data from real-time component tracking using RFID, which was tested during the research project. The model identified bottlenecks, adequately represented the variants of the wall elements and enabled a reduction in lead times for the tested use case. A subsequent research project will test the use of the model for real-time production planning using online data from production.