dc.identifier.uri |
http://dx.doi.org/10.15488/11327 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/11414 |
|
dc.contributor.author |
Grunert, Dennis
|
eng |
dc.contributor.author |
Göppert, Amon
|
eng |
dc.contributor.author |
Hort, Simon
|
eng |
dc.contributor.author |
Rachner, Jonas
|
eng |
dc.contributor.author |
Grahn, Lea
|
eng |
dc.contributor.author |
Schmitt, Robert H.
|
eng |
dc.date.accessioned |
2021-09-15T12:46:43Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
Grunert, D. ; Göppert, A.; Hort, S.; Rachner, J.; Grahn, L. et al.: Modelling for Decision-making in Dynamical Line-less Assembly Systems. In: Journal of Production Systems and Logistics 1 (2021), 12. DOI: https://doi.org/10.15488/11327 |
eng |
dc.description.abstract |
The shift towards electro mobility has a significant impact on the entire value chain of the automotive industry. The parallel production of Internal Combustion Engine, Battery Electric and Plug-in Hybrid Electric Vehicles con-fronts manufacturers with major challenges. This requires flexible production systems that are able to operate efficiently even under the influence of dynamic conditions. As could be seen in the COVID-19 pandemic, production systems must be able to react flexible and resilient even to these kinds of situations. Within the production system there is a multitude of temporally and spatially determined neuralgic points at which a reaction to dynamic conditions is possible and necessary. In order to make target-oriented decisions at these points, a large amount of data from many different sources is required as input parameters. The decisions can be made manually, semi-automatically or automatically by a human, a machine or a (software) system. Therefore it is essential that influences, input and output variables as well as decisions and the solution space are provided in a defined manner enabling all involved units to process the information. The paper therefore describes the first steps in modeling decisions for dynamic line-less assembly systems. Starting with an introduction to the topic and the multi-variant automotive production, the architecture of this kind of flexible assembly system is briefly described. Afterwards a description of the formal modeling of decisions in assembly systems is presented. Finally, after a discussion of the results, an outlook on the next steps and further research needs is given. |
eng |
dc.language.iso |
eng |
eng |
dc.publisher |
Hannover : publish-Ing. |
|
dc.relation.ispartofseries |
Journal of Production Systems and Logistics 1 (2021) |
eng |
dc.rights |
CC BY 3.0 DE |
eng |
dc.rights.uri |
http://creativecommons.org/licenses/by/3.0/de/ |
eng |
dc.rights.uri |
http://creativecommons.org/licenses/by/3.0/de/ |
eng |
dc.subject |
Assembly systems |
eng |
dc.subject |
Decision-making |
eng |
dc.subject |
Modelling |
eng |
dc.subject |
Flexible manufacturing |
eng |
dc.subject |
Smart expert system |
eng |
dc.subject.ddc |
620 | Ingenieurwissenschaften und Maschinenbau
|
eng |
dc.title |
Modelling for Decision-making in Dynamical Line-less Assembly Systems |
eng |
dc.type |
Article |
eng |
dc.type |
Text |
eng |
dc.relation.essn |
2702-2587 |
|
dc.bibliographicCitation.volume |
1 |
|
dc.description.version |
publishedVersion |
eng |
tib.accessRights |
frei zug�nglich |
eng |