Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product platform

Abstract

The distributed parameterized intelligent product platform (DPIPP) contains many agents of a product minimum approximate autonomous subsystem (generalized module). These distributed agents communicate, coordinate, and cooperate using their knowledge and skills and eventually accomplish the design for mass customization in a loosely coupled environment. In this study, a new method of isomorphism analysis on generalized modules oriented to DPIPP is proposed. First, on the basis of the bill of material partition and generalized module mining, the parameters of the main characteristics are extracted to construct the main characteristic parameter matrix. Second, similarity calculation of generalized modules is realized by improving the clustering using representatives algorithm, and isomorphism model sets are obtained. Generalized modules with a similar structure are combined to complete the isomorphism analysis. The effectiveness of the proposed method is verified by taking high- and medium-pressure valve data as an example.

Keywords

distributed parameterized intelligent product platform / generalized module / isomorphism analysis / product family

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Acknowledgement

This work was supported by the National Natural Science Foundation of China (Grant Nos. 51505343 and 51705374), and the China Postdoctoral Science Foundation (Grant No. 2017M622509). The authors would like to thank the editors and the reviewers for their insightful comments and helpful suggestions to improve the manuscript.

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2019 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature