An evaluation approach for modules developed from design structure matrix
Ying Li,
Baosheng Ying,
Zhijun Rong,
Binbin Dan,
Conglin Hu and
Feng Xiang
International Journal of Service and Computing Oriented Manufacturing, 2021, vol. 4, issue 1, 1-10
Abstract:
The main characteristics of its components and their interaction are represented in products architecture. A modular architecture can enhance the whole design cycle of a product. The idea of module identification is to minimise interactions between modules and maximise component interconnection within each module. Clustering DSM is a popular analysis technique for modularity. To assess the clustering efficiency, a new index of Cce is tendered to deal with a numerical DSM, as well as a binary DSM. A case study of a motorcycle engine of 17 parts is analysed using the proposed assessment to get a better clustering result, which validates the feasibility of the evaluation approach.
Keywords: design structure matrix; DSM; product architecture; clustering assessment. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=114620 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijscom:v:4:y:2021:i:1:p:1-10
Access Statistics for this article
More articles in International Journal of Service and Computing Oriented Manufacturing from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().