How to Use the Levers of Modularity Properly—Linking Modularization to Economic Targets

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Schwede, L.-N.; Greve, E.; Krause, D.; Otto, K.; Moon, S.K.; et al.: How to Use the Levers of Modularity Properly—Linking Modularization to Economic Targets. In: Journal of Mechanical Design 144 (2022), Nr. 7, 071401. DOI: https://doi.org/10.1115/1.4054023

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/15881

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Abstract: 
Product developers are faced with the challenge of covering an ever-increasing external variety with as little internal variety as possible. Modular product architectures offer one way of resolving the challenge. They have an impact on all life phases and on economic targets. These effects are represented in the Impact Model of Modular Product Families. A large number of modularization methods can be found in the literature. The modularization methods consist of different activities: decomposition of product, analysis and revision of components, and reintegration to modules. Module drivers play a major role in reintegration, as they determine which components together form a module. It is not yet clear what effects different modularization methods involving different module drivers have on economic targets. For this reason, the module drivers are examined in their role as levers of modularity and integrated into the Impact Model via access points. By documenting the results in a specially developed uniform method step description and the Impact Model, we enable the selection of modularization methods with regard to their economic impact. The introduction is followed by the state of research. In Sec. 3, the research problem and the research approach are presented. In Sec. 4, the generic method step description is applied to seven modularization methods. Based thereon, the modularization methods are compared with each other with regard to their addressed economic objectives. In an explanatory example, the method selection made possible by this is presented. Finally, the results are discussed and an outlook is given.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Fakultät für Maschinenbau

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1 image of flag of Germany Germany 13 68.42%
2 image of flag of United States United States 4 21.05%
3 image of flag of Indonesia Indonesia 1 5.26%
4 image of flag of China China 1 5.26%

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