Optimization Methodology Integrated Data Mining and Statistical Method

Song, Suh-Ill; Shin, Sang-Mun; Jung, Hey-Jin

Journal of Korean Society for Quality Management > Volume 34(4); 2006 > Article

Journal of Korean Society for Quality Management 2006;34(4): 33-.

데이터 마이닝과 통계적 기법을 통합한 최적화 기법

송서일¹, 신상문², 정혜진¹

¹동아대학교 산업경영공학과
²인제대학교 시스템경영공학과

Optimization Methodology Integrated Data Mining and Statistical Method

Suh-Ill Song¹, Sang-Mun Shin², Hey-Jin Jung¹

¹Dept. of Industrial & Management Systems Engineering, Dong-A University
²Department of Systems Management & Engineering, Inje University

ABSTRACT

These days manufacture technology and manufacture environment are changing rapidly. By development of computer and enlargement of technique, most of manufacture field are computerized. In order to win international competition, it is important for companies how fast get the useful information from vast data. Statistical process control(SPC) techniques have been used as a problem solution tool at manufacturing process until present. However, these statistical methods are not applied more extensively because it has much restrictions in realistic problems. These statistical techniques have lots of problems when much data and factors are analyzed. In this paper, we proposed more practical and efficient a new statistical design technique which integrated data mining (DM) and statistical methods as alternative of problems. First step is selecting significant factor using DM feature selection algorithm from data of manufacturing process including many factors. Second step is finding optimum of process after estimating response function through response surface methodology(RSM) that is a statistical techniques

Key Words: Data MininG;CBFS;SPC;RSM;Optimization;