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Published in: Cluster Computing 3/2019

23-02-2018

A scalable product configuration model and algorithm

Authors: Hu Qiao, Fan Feng, Jianyao Qi, Ying Xiang

Published in: Cluster Computing | Special Issue 3/2019

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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.

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Metadata
Title
A scalable product configuration model and algorithm
Authors
Hu Qiao
Fan Feng
Jianyao Qi
Ying Xiang
Publication date
23-02-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2146-7

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