Marc Windheim
Research Subjects
Marc Windheim has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Bahram Hamraz
Siemens Advanta, 81739 Munich, Germany
1 shared publication - Christoph Fuchs
Siemens AG
1 shared publication - Christoph Rennpferdt
Hamburg University of Technology, Institute of Product Development and Mechanical Engineering Design, 21073 Hamburg, Germany
1 shared publication - Dieter Krause
Hamburg University of Technology
1 shared publication - Erik Greve
Department of Materials Science, Functional Nanomaterials, Faculty of Engineering, Kiel University, Kaiserstraße 2, D-24143 Kiel, Germany
1 shared publication - Lea-Nadine Schwede
Technische Universität Hamburg (TUHH)
1 shared publication
Latest Publications
- Open Access
- 6 January 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (2) , 547
Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families
The design of modular product families enables a high external variety of products by a low internal variety of components and processes. This variety optimization leads to large economic savings along the entire value chain. However, when designing and selecting suitable modular product architecture concepts, often only direct costs are considered, and indirect costs as well as cross-cost center benefits are neglected. A lack of knowledge about the full savings potential often results in the selection of inferior solutions. Since available approaches do not adequately address this problem, this paper provides a new methodological support tool that ensures consideration of the full savings potentials in the evaluation of modular product architecture concepts. For this purpose, the visual knowledge base of the Impact Model of Modular Product Families (IMF) is used, extended and implemented in a model-based environment using SysML. The newly developed Sys-IMF is then applied to the product family example of electric medium-voltage motors. The support tool is dynamic, expandable and filterable and embedded in a methodical procedure for knowledge-based decision support. Sys-IMF supports decision makers in the early phase of interdisciplinary product development and enables the selection of the most suitable modular solution for the company.
- 6 January 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (2) , 547
Open AccessKnowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families
The design of modular product families enables a high external variety of products by a low internal variety of components and processes. This variety optimization leads to large economic savings along the entire value chain. However, when designing and selecting suitable modular product architecture concepts, often only direct costs are considered, and indirect costs as well as cross-cost center benefits are neglected. A lack of knowledge about the full savings potential often results in the selection of inferior solutions. Since available approaches do not adequately address this problem, this paper provides a new methodological support tool that ensures consideration of the full savings potentials in the evaluation of modular product architecture concepts. For this purpose, the visual knowledge base of the Impact Model of Modular Product Families (IMF) is used, extended and implemented in a model-based environment using SysML. The newly developed Sys-IMF is then applied to the product family example of electric medium-voltage motors. The support tool is dynamic, expandable and filterable and embedded in a methodical procedure for knowledge-based decision support. Sys-IMF supports decision makers in the early phase of interdisciplinary product development and enables the selection of the most suitable modular solution for the company.