An evaluation approach for modules developed from design structure matrix. (19th April 2021)

• Record Type: Journal Article
• Authors: Li, Ying; Ying, Baosheng; Rong, Zhijun; Dan, Binbin; Hu, Conglin; Xiang, Feng
• Is Part Of: International journal of service and computing oriented manufacturing. Volume 4:Number 1(2020)
• Page Start: 1
• Page End: 10
• Publication Date: 2021-04-19
• Subjects: design structure matrix -- DSM -- product architecture -- clustering assessment; Computer integrated manufacturing systems -- Periodicals; Manufacturing industries -- Information technology -- Periodicals; Manufacturing industries -- Computer networks -- Periodicals; Service-oriented architecture (Computer science) -- Periodicals; 670.285
• Languages: English
• ISSNs: 2045-175X

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.