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

S Rezvani, G Prasad, D Dixon, R McIlhagger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.
Original languageEnglish
Title of host publicationUnknown Host Publication
Place of Publication345 E 47TH ST, NEW YORK, NY 10017 USA
Pages3002-3007
Number of pages5
Publication statusPublished (in print/issue) - 2003
Event2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS - WASHINGTON, D.C.,
Duration: 1 Jan 2003 → …

Publication series

NameIEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, CONFERENCE PROCEEDINGS

Conference

Conference2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS
Period1/01/03 → …

Bibliographical note

IEEE International Conference on Systems, Man and Cybernetics (SMC 03), WASHINGTON, D.C., OCT 05-08, 2003

Keywords

  • CBR
  • PCA
  • DOE
  • product formulation

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