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An intelligent approach to generating improved product formulation for an optimal manufacturing route

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Rezvani, S, Prasad, G, Dixon, D and McIlhagger, R (2003) An intelligent approach to generating improved product formulation for an optimal manufacturing route. In: 2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, WASHINGTON, D.C., . UNSPECIFIED. 5 pp. [Conference contribution]

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Abstract

Case Based Reasoning System (CBR) is an efficient and straightforward approach for recommending desirable product formulations. In response to a changeable market situation, it is vital to adapt or generate enhanced and more efficient product formulations and manufacturing routes. Due to the lack of variability and indefinite data distribution in many case libraries, however, this technique can be very limited and is inadequate for creating improved formulations. The proposed approach represents an intelligent way to overcome this shortcoming. Following a carefully premeditated Design of Experiment (DOE), a synergistic use of data noise removal, modeling and optimization techniques were utilized to develop favorable product formulations. After a multivariate validation, these along with DOE based formulations are retained in the CBR library for later use.

Item Type:Conference contribution (Paper)
Keywords:CBR; PCA; DOE; product formulation
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Art, Design and the Built Environment > School of the Built Environment
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Engineering Composites
ID Code:5374
Deposited By:Dr Dorian Dixon
Deposited On:13 Jan 2010 12:56
Last Modified:18 Aug 2011 11:43

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