Flexible patient rule induction method for optimizing process variables in discrete type

Authors:
Il-Gyo Chong;Chi-Hyuck Jun
Affiliations:
Semiconductor R&D Center, Samsung Electronics Co., Ltd. San 16 Banwol-dong, Hwasung 445-701, Republic of Korea;Department of Industrial and Management Engineering, Pohang University of Science and Technology, San 31 Hyoja, Pohang 790-784, Republic of Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

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Abstract

This paper deals with process optimization, which establishes the optimal settings of process variables to achieve a better quality. To this end, the patient rule induction method (PRIM), widely used in various application areas, could be adopted. However, the PRIM may fail to provide successful solutions when some process variables are in discrete types. Thus, we propose a new PRIM-like method specially to deal with ordinal discrete variables. For an illustrative purpose, the proposed method is applied to a real steel-making process. Also, performance of the proposed method is compared with the original PRIM through an extensive simulation using artificial data sets.