期刊论文详细信息
Applied Sciences
Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families
Dieter Krause1  Erik Greve1  Lea-Nadine Schwede1  Christoph Rennpferdt1  Bahram Hamraz2  Marc Windheim2  Christoph Fuchs2 
[1] Hamburg University of Technology, Institute of Product Development and Mechanical Engineering Design, 21073 Hamburg, Germany;Siemens Advanta, 81739 Munich, Germany;
关键词: product architecture;    modularity;    data management;    MBSE;    SysML;    KPIs;   
DOI  :  10.3390/app12020547
来源: DOAJ
【 摘 要 】

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.

【 授权许可】

Unknown   

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