NDLI: Extended object model for product configuration design

Content Provider	Springer Nature Link
Author	Xu, Zhi Wei Liang, Ze Zhong Sheng, Zhong Qi
Copyright Year	2010
Abstract	This paper presents an extended object model for case-based reasoning (CBR) in product configuration design. In the extended object model, a few methods of knowledge expression are adopted, such as constraints, rules, objects, etc. On the basis of extended object model, case representation model for CBR is applied to product configuration design system. The product configuration knowledge can be represented by the extended object. The model can support all the processes of CBR in product configuration design, such as case representation, indexing, retrieving, and case revising. The presented model is an extension of the traditional object-oriented model by including the relationship class used to express the relation between the cases, constraints class used in the product configuration knowledge representation, index class used in case retrieving, and solution class used in case revising. Therefore, the product configuration knowledge used in the product configuration design can be represented by using this model. In the end, a metering pump product configuration design system is developed on the basis of the proposed product configuration model to support customized products.
Starting Page	289
Ending Page	294
Page Count	6
File Format	PDF
ISSN	14768186
Journal	International Journal of Automation and Computing
Volume Number	7
Issue Number	3
e-ISSN	17518520
Language	English
Publisher	Institute of Automation, Chinese Academy of Sciences
Publisher Date	2010-08-18
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	Mass customization product configuration case-based reasoning (CBR) object-oriented modeling case representation Computer-Aided Engineering (CAD, CAE) and Design Computer Applications Control Robotics Mechatronics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Control and Systems Engineering Modeling and Simulation Computer Science Applications

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