Virtual Asset Representation for enabling Adaptive Assembly at the Example of Electric Vehicle Production

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Burggräf, Peter; Dannapfel, Matthias; Adlon, Tobias; Hahn, Viviane; Riegauf, Aaron et al.: Virtual Asset Representation for enabling Adaptive Assembly at the Example of Electric Vehicle Production. In: Nyhuis, P.; Herberger, D.; Hübner, M. (Eds.): Proceedings of the 1st Conference on Production Systems and Logistics (CPSL 2020), 2020, S. 307-314. DOI:

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Sum total of downloads: 229

Manufacturing companies are confronted with the challenge of adapting to ever-changing requirements of markets in order to remain competitive. Besides the rising number of product variants, increasingly frequent product changes require a continuous adaptation of assembly processes including its work instructions. Adaptive and highly connected agile assembly systems are designed to meet these challenges by enabling the interaction of various assets in assembly. A successful implementation of such Industry 4.0 (I4.0) solutions requires the development of a semantic oriented adaptive framework, which connects the physical with the virtual world. It enables interactive and situation-aware solutions such as Augmented Reality applications to adapt to worker capabilities and to improve worker satisfaction by providing information, based on individual experience, skills and personal preferences. A central part of the adaptive framework is the semantic representation of tangible and intangible assets through a Virtual Asset Representation containing all relevant asset information for adaptive assembly. This paper shows a three levels structure for adaptive assembly implementation, consisting of the adaptive framework level, the Virtual Asset Representation (VAR) ontology level and the use case level. The implementation of an adaptive assembly system is shown in the use case of a rear light assembly process of an electric vehicle in the context of the EU funded project A4BLUE. Based on the gained experiences a critical reflection on target fulfilment and user-friendliness of the VAR is given.
License of this version: CC BY 3.0 DE
Document Type: bookPart
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Proceedings CPSL 2020
Proceedings CPSL 2020

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pos. country downloads
total perc.
1 image of flag of Germany Germany 156 68.12%
2 image of flag of Spain Spain 14 6.11%
3 image of flag of India India 6 2.62%
4 image of flag of Russian Federation Russian Federation 5 2.18%
5 image of flag of Czech Republic Czech Republic 5 2.18%
6 image of flag of United States United States 4 1.75%
7 image of flag of Poland Poland 4 1.75%
8 image of flag of United Kingdom United Kingdom 4 1.75%
9 image of flag of Korea, Republic of Korea, Republic of 3 1.31%
10 image of flag of France France 3 1.31%
    other countries 25 10.92%

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