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 architectur...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/2/547 |
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| author | Erik Greve Christoph Fuchs Bahram Hamraz Marc Windheim Christoph Rennpferdt Lea-Nadine Schwede Dieter Krause |
| author_facet | Erik Greve Christoph Fuchs Bahram Hamraz Marc Windheim Christoph Rennpferdt Lea-Nadine Schwede Dieter Krause |
| author_sort | Erik Greve |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T03:00:10Z |
| format | Article |
| id | doaj.art-cf1d530e9de1451a896814dafe182114 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:00:10Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-cf1d530e9de1451a896814dafe1821142023-11-23T12:48:50ZengMDPI AGApplied Sciences2076-34172022-01-0112254710.3390/app12020547Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product FamiliesErik Greve0Christoph Fuchs1Bahram Hamraz2Marc Windheim3Christoph Rennpferdt4Lea-Nadine Schwede5Dieter Krause6Hamburg University of Technology, Institute of Product Development and Mechanical Engineering Design, 21073 Hamburg, GermanySiemens Advanta, 81739 Munich, GermanySiemens Advanta, 81739 Munich, GermanySiemens Advanta, 81739 Munich, GermanyHamburg University of Technology, Institute of Product Development and Mechanical Engineering Design, 21073 Hamburg, GermanyHamburg University of Technology, Institute of Product Development and Mechanical Engineering Design, 21073 Hamburg, GermanyHamburg University of Technology, Institute of Product Development and Mechanical Engineering Design, 21073 Hamburg, GermanyThe 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.https://www.mdpi.com/2076-3417/12/2/547product architecturemodularitydata managementMBSESysMLKPIs |
| spellingShingle | Erik Greve Christoph Fuchs Bahram Hamraz Marc Windheim Christoph Rennpferdt Lea-Nadine Schwede Dieter Krause Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families Applied Sciences product architecture modularity data management MBSE SysML KPIs |
| title | Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families |
| title_full | Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families |
| title_fullStr | Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families |
| title_full_unstemmed | Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families |
| title_short | Knowledge-Based Decision Support for Concept Evaluation Using the Extended Impact Model of Modular Product Families |
| title_sort | knowledge based decision support for concept evaluation using the extended impact model of modular product families |
| topic | product architecture modularity data management MBSE SysML KPIs |
| url | https://www.mdpi.com/2076-3417/12/2/547 |
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