Knowledge Base Repository

In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Graph-based similarity analysis of BOM data to identify unnecessary inner product variance

Schmidt, Michael; Gehring, Benedikt; Gerber, Jan-Sebastian; Stocker, Johannes Michael; Kreimeyer, Matthias; Lienkamp, Markus


Type:
Year:
2017
Editor:
Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author:
Series:
ICED
Institution:
1: Technical University of Munich, Germany; 2: MAN Truck & Bus AG, Germany
Section:
Resource Sensitive Design, Design Research Applications and Case Studies
Page(s):
489-498
ISBN:
978-1-904670-89-6
ISSN:
2220-4342
Abstract:
This paper contributes to the fields of variant management and product family design. The focus lies on analysing historically grown product portfolios in order to reduce unnecessary inner variety. Such inner variety adds no value to the customer, yet it induces complexity costs within the whole company. Increasing transparency in documented product variants is key when applying standardisation or modularisation methods as part of variant management. Studies of literature and industrial practice at a major German truck manufacturer show that analysing product structure information from BOM data yields the potential to point out promising candidates in companies’ portfolios for effective standardization or modularisation. For modelling and analysing highly variant and complex product structures, we employ graph-based modelling of BOM data in combination with a state-of-the-art tree matching algorithm for similarity calculations. Actual product data of a truck manufacturer serves as a case study. Thereby, we propose a generally applicable approach that enables intuitive handling of large amounts of product family data and that effectively supports variety reduction efforts.
Keywords:

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.