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Cluster Computing

, Volume 22, Supplement 3, pp 6405–6415 | Cite as

A scalable product configuration model and algorithm

  • Hu Qiao
  • Fan Feng
  • Jianyao Qi
  • Ying XiangEmail author
Article
  • 45 Downloads

Abstract

The application of product configuration model is an effective way to improve product design and manufacturing efficiency. The traditional product configuration model has a single configuration result, and the configuration model is difficult to be expanded. In order to solve the existing problem, a scalable product configuration model is established based on polychromatic sets theory and corresponding algorithm is proposed. Firstly, product modules are clustered according to function types to establish function block, which is the solving unit of product configuration model. At the same time, multilayer polychromatic set contour-comprising matrices are respectively established from the point of view of needs, product, performance and module. According to actual demand of product configuration, the unified color reasoning algorithm is proposed. And scalable product configuration model and algorithm are proposed based on relative works. Then, the scalability of proposed model is studied from the point of view of needs change and modules change. Finally, the configuration of a special vehicle is introduced to verify the presented model and algorithm, and the results confirmed the effectiveness and rationality of the method.

Keywords

Product configuration Scalability Polychromatic sets Function sets 

Notes

Acknowledgements

The project is supported by National Natural Science Foundation of China (Grant No. 51705392) and Xi’an Technological University President Foundation (Grant No. XAGDXJJ16004).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Mechatronic EngineeringXi’an Technological UniversityXi’anChina
  2. 2.College of Mechanical and Electrical EngineeringShaanxi University of Science and TechnologyXi’anChina

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