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.
|Name||IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, CONFERENCE PROCEEDINGS|
|Conference||2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS|
|Period||1/01/03 → …|
IEEE International Conference on Systems, Man and Cybernetics (SMC 03), WASHINGTON, D.C., OCT 05-08, 2003
- product formulation