Extended Object Model for Product Configuration Design

Zhi-Wei Xu; Ze-Zhong Liang; Zhong-Qi Sheng

doi:10.1007/s11633-010-0505-9

August 2010

Article Contents

Zhi-Wei Xu, Ze-Zhong Liang and Zhong-Qi Sheng. Extended Object Model for Product Configuration Design. International Journal of Automation and Computing, vol. 7, no. 3, pp. 289-294, 2010. doi: 10.1007/s11633-010-0505-9

Cite as: Zhi-Wei Xu, Ze-Zhong Liang and Zhong-Qi Sheng. Extended Object Model for Product Configuration Design. International Journal of Automation and Computing, vol. 7, no. 3, pp. 289-294, 2010. doi: 10.1007/s11633-010-0505-9

Extended Object Model for Product Configuration Design

1.
School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, PRC

Author Biography:

Corresponding author: Zhi-Wei Xu received the B.Eng.degree in precision instruments in 1991,M.Eng. degree in mechatronics engineering in 1997

Received: 2010-01-01

Fund Project:

supported by Scientific and Technological Projectin Liaoning Province of China (No2006219008-4);Fundamental Research Funds for the Central Universities (No090403005)

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.
- Mass customization,
- product configuration,
- case-based reasoning (CBR),
- object-oriented modeling,
- case representation

References

[1]	J.R.Tan,S.Y.Zhang,Y.J.Ji,Y.X.Feng.Research on technologies and applications of product configura-tion design for mass customization in integrated platform. China Mechanical Engineering,vol.15,no.19,pp.1706-1708,2004.(in Chinese)
[2]	D.W.Fowler,D.Sleeman,G.Wills,T.Lyon,D.Knott. The designers workbench:Using ontologies and constraints for configuration.In Proceedings of the 24th SGAI Inter-national Conference on Innovative Techniques and Appli-cations of Artificial Intelligence,Springer,Cambridge,UK, pp.209-221,2004.
[3]	G.N.Qi,Q.H.Yang.Summary on mass customization production mode.China Mechanical Engineering,vol.15, no.14,pp.1240-1245,2004.(in Chinese)
[4]	W.P.Sao,Y.P.Hao,Y.X.Liu,P.F.Zeng.Research on configuration management based on transformable struc-ture of product family.Computer Integrated Manufacturing Systems,vol.12,no.6,pp.876-881,2006.(in Chinese)
[5]	H.E.Tseng,C.C.Chang,S.H.Chang.Applying case-based reasoning for product configuration in mass cus-tomization environments.Expert Systems with Applica-tions,vol.29,no.4,pp.913-925,2005.
[6]	J.Tian,X.Chen,S.P.Dong.Multi-modal reasoning med-ical diagnosis system integrated with probabilistic reason-ing.International Journal of Automation and Computing, vol.2,no.2,pp.134-143,2005.
[7]	X.B.Liu,C.F.Yuan,Y.J.Xing,W.L.Wang.Modeling of product configuration based on class&feature.Computer Integrated Manufacturing Systems,vol.11,no.8,pp.1057-1063,2005.(in Chinese)
[8]	J.H.Dong,T.Y.Xiao,G.X.Qiao.Study on an con-figuration framework for product Family.High Technology Letters,vol.7,no.4,pp.58-62,2001.
[9]	J.Z.Li,Z.P.Zhang,B.Qiao,H.J.Yang.A component mining approach to incubate grid services in object-oriented legacy systems.International Journal of Automation and Computing,vol.3,no.1,pp.47-55,2006.
[10]	R.Dechter,D.Frost.Backjump-based backtracking for constraint satisfaction problems.Artificial Intelligence, vol.136,no.2,pp.147-188,2002.

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Extended Object Model for Product Configuration Design

1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, PRC

Corresponding author: Zhi-Wei Xu received the B.Eng.degree in precision instruments in 1991,M.Eng. degree in mechatronics engineering in 1997

Received: 2010-01-01

Fund Project:

supported by Scientific and Technological Projectin Liaoning Province of China (No2006219008-4);Fundamental Research Funds for the Central Universities (No090403005)

Key words:

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.

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Reference (10)

[1]	J.R.Tan,S.Y.Zhang,Y.J.Ji,Y.X.Feng.Research on technologies and applications of product configura-tion design for mass customization in integrated platform. China Mechanical Engineering,vol.15,no.19,pp.1706-1708,2004.(in Chinese)
[2]	D.W.Fowler,D.Sleeman,G.Wills,T.Lyon,D.Knott. The designers workbench:Using ontologies and constraints for configuration.In Proceedings of the 24th SGAI Inter-national Conference on Innovative Techniques and Appli-cations of Artificial Intelligence,Springer,Cambridge,UK, pp.209-221,2004.
[3]	G.N.Qi,Q.H.Yang.Summary on mass customization production mode.China Mechanical Engineering,vol.15, no.14,pp.1240-1245,2004.(in Chinese)
[4]	W.P.Sao,Y.P.Hao,Y.X.Liu,P.F.Zeng.Research on configuration management based on transformable struc-ture of product family.Computer Integrated Manufacturing Systems,vol.12,no.6,pp.876-881,2006.(in Chinese)
[5]	H.E.Tseng,C.C.Chang,S.H.Chang.Applying case-based reasoning for product configuration in mass cus-tomization environments.Expert Systems with Applica-tions,vol.29,no.4,pp.913-925,2005.
[6]	J.Tian,X.Chen,S.P.Dong.Multi-modal reasoning med-ical diagnosis system integrated with probabilistic reason-ing.International Journal of Automation and Computing, vol.2,no.2,pp.134-143,2005.
[7]	X.B.Liu,C.F.Yuan,Y.J.Xing,W.L.Wang.Modeling of product configuration based on class&feature.Computer Integrated Manufacturing Systems,vol.11,no.8,pp.1057-1063,2005.(in Chinese)
[8]	J.H.Dong,T.Y.Xiao,G.X.Qiao.Study on an con-figuration framework for product Family.High Technology Letters,vol.7,no.4,pp.58-62,2001.
[9]	J.Z.Li,Z.P.Zhang,B.Qiao,H.J.Yang.A component mining approach to incubate grid services in object-oriented legacy systems.International Journal of Automation and Computing,vol.3,no.1,pp.47-55,2006.
[10]	R.Dechter,D.Frost.Backjump-based backtracking for constraint satisfaction problems.Artificial Intelligence, vol.136,no.2,pp.147-188,2002.

Extended Object Model for Product Configuration Design

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