Title: An evaluation approach for modules developed from design structure matrix

Authors: Ying Li; Baosheng Ying; Zhijun Rong; Binbin Dan; Conglin Hu; Feng Xiang

Addresses: School of Mechanical and Automation, Wuhan University of Science and Technology, Wuhan, 430081, China ' School of Automobile and Traffic, Wuhan University of Science and Technology, Wuhan, 430081, China ' School of Mechanical and Automation, Wuhan University of Science and Technology, Wuhan, 430081, China ' School of Mechanical and Automation, Wuhan University of Science and Technology, Wuhan, 430081, China ' School of Mechanical and Automation, Wuhan University of Science and Technology, Wuhan, 430081, China ' School of Mechanical and Automation, Wuhan University of Science and Technology, Wuhan, 430081, China

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.

DOI: 10.1504/IJSCOM.2021.114620

International Journal of Service and Computing Oriented Manufacturing, 2021 Vol.4 No.1, pp.1 - 10

Received: 15 Dec 2017
Accepted: 12 Jan 2018
Published online: 29 Apr 2021 *

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