Abstract
This paper’s aim is to propose a new methodology for organizing and identifying the assembly operations that ought to be automated in an automotive assembly line. A state of the art in the matters of automation methods is presented to situate the research work and to analyze the different methods presented in the literature. As a result, there are some lacks in terms of methods that sought to help improve the level of automation. In the last part, the different requirements of the methodology are defined, which led to a proposal for a method that respects all the requirements and that allows not only the grouping of operations, but also the analysis of the automation and the line balancing. Finally, and to verify the proposal, three activities of the automation methodology have been applied on a Stellantis assembly line. The result of the study showed that it is possible to group several screwing operations.
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Acknowledgements
This research work was carried out as part of a CIFRE thesis between the Stellantis group and the Arts et Métiers de Metz.
This work takes place within the framework of the OpenLab Materials and Processes, which brings together the Arts et Métiers network, GeorgiaTech Lorraine and the Stellantis Group.
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Malek, H.A., Etienne, A., Siadat, A., Allavena, T. (2021). Proposal of a Methodology to Improve the Level of Automation of an Assembly Line. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 631. Springer, Cham. https://doi.org/10.1007/978-3-030-85902-2_46
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DOI: https://doi.org/10.1007/978-3-030-85902-2_46
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