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A dynamic constraint satisfaction approach for configuring structural products under mass customization

Authors :
Yang, Dong
Dong, Ming
Chang, Xiao-Kun
Source :
Engineering Applications of Artificial Intelligence. Dec2012, Vol. 25 Issue 8, p1723-1737. 15p.
Publication Year :
2012

Abstract

Abstract: Configuring structured products poses new challenges to the solving technologies for product configuration. This paper presents a novel and direct approach to encoding configuration models into the Dynamic Constraint Satisfaction Problems (DCSP). In the presented approach, components are encoded as DCSP variables while structural relationships are represented as DCSP activity constraints. Furthermore, the configuration constraints such as the requisition and exclusion constraints are treated as DCSP compatibility constraints, which allow a low-level component to join in the solving process only after its high-level component is selected in the configuration. The presented method allows a more compact encoding representation, compared to CSP and generative CSP. Experimental study shows that the presented DCSP encoding approach makes a significant improvement in the performance of product configuration. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
09521976
Volume :
25
Issue :
8
Database :
Academic Search Index
Journal :
Engineering Applications of Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
83161429
Full Text :
https://doi.org/10.1016/j.engappai.2012.07.010