Classification Of Flow-Based Assembly Structures For The Planning Of Flexible Mixed-Model Assembly

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Föhlisch, N.; Burggräf, P.; Adlon, T.; Meier, V.: Classification Of Flow-Based Assembly Structures For The Planning Of Flexible Mixed-Model Assembly. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 - 2. Hannover : publish-Ing., 2023, S. 129-138. DOI: https://doi.org/10.15488/15252

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Sum total of downloads: 115




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The increasing product variance due to the growing individualization of customer requirements leads to smaller batch sizes and higher process time spreads in mixed-model assembly. The resulting decline in efficiency pushes conventional, less flexible assembly lines to the limits of their economic viability. Matrix assembly is an approach to increase flexibility and efficiency by decoupling workstations and dissolving cycle time constraints while maintaining flow. Both matrix and line assembly are flow-based assembly structures characterized by assembly objects moving according to the flow principle. Due to the numerous design options of flow-based assembly structures and the need to consider flexibility as a central decision criterion, the complexity of structural planning increases. The variety of the design options as well as their compatibility make it challenging for assembly planners to decide which configuration provides sufficient flexibility for their use case.This paper presents a novel level-based classification for flow-based assembly structures that identifies the relevant configurations, ranks them according to provided flexibility, and breaks down the characteristics as well as their compatibility. The classification enables planners to efficiently compile, evaluate and select the flow-based structure configurations suitable for the individual use case during assembly structure planning. Planning efficiency and results are improved by transparently providing all configurations and their characteristics' compatibility to the planner without any research effort. The configuration selection focusing on flexibility by means of the classification can be the starting point of a subsequent simulation of the system behavior concerning efficiency.
License of this version: CC BY 3.0 DE
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2023
Appears in Collections:Proceedings CPSL 2023 - 2
Proceedings CPSL 2023 - 2

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1 image of flag of Germany Germany 97 84.35%
2 image of flag of United States United States 9 7.83%
3 image of flag of Austria Austria 2 1.74%
4 image of flag of Tanzania, United Republic of Tanzania, United Republic of 1 0.87%
5 image of flag of Russian Federation Russian Federation 1 0.87%
6 image of flag of Portugal Portugal 1 0.87%
7 image of flag of Indonesia Indonesia 1 0.87%
8 image of flag of Hong Kong Hong Kong 1 0.87%
9 image of flag of Switzerland Switzerland 1 0.87%
10 image of flag of Canada Canada 1 0.87%

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