TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publications
  4. Knowledge-based decision support for concept evaluation using the extended impact model of modular product families
 
Options

Knowledge-based decision support for concept evaluation using the extended impact model of modular product families

Citation Link: https://doi.org/10.15480/882.4091
Publikationstyp
Journal Article
Date Issued
2022-01-06
Sprache
English
Author(s)
Greve, Erik 
Fuchs, Christoph  
Hamraz, Bahram  
Windheim, Marc  
Rennpferdt, Christoph 
Schwede, Lea-Nadine  orcid-logo
Krause, Dieter  orcid-logo
Institut
Produktentwicklung und Konstruktionstechnik M-17  
TORE-DOI
10.15480/882.4091
TORE-URI
http://hdl.handle.net/11420/11468
Journal
Applied Sciences (Basel)  
Volume
12
Issue
2
Article Number
547
Citation
Applied Sciences 12 (2): 547 (2022)
Publisher DOI
10.3390/app12020547
Scopus ID
2-s2.0-85122393012
Publisher
Multidisciplinary Digital Publishing Institute
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.
Subjects
product architecture
modularity
data management
MBSE
SysML
KPIs
decision support
product concept evaluation
knowledge management
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding(s)
Validierung und Weiterentwicklung eines Wirkmodells zur Beschreibung der Effekte modularer Produktstrukturen in der industriellen Praxis  
Funding Organisations
Deutsche Forschungsgemeinschaft (DFG)  
More Funding Information
Thanks go to the German Research Foundation (Deutsche Forschungsgemeinschaft - DFG) for funding this project within the research grant ‘Validierung und Weiterentwicklung eines Wirkmodells zur Beschreibung der Effekte modularer Produktstrukturen in der industriellen Praxis’
(project number: 415579334).

We acknowledge support for the Open Access fees by Hamburg University of Technology (TUHH) in the funding programme Open Access Publishing.
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
Loading...
Thumbnail Image
Name

applsci-12-00547.pdf

Size

7.08 MB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback