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ISSN : 2005-0461(Print)
ISSN : 2287-7975(Online)
Journal of Society of Korea Industrial and Systems Engineering Vol.28 No.3 pp.166-171
DOI :

# 데이터마이닝을 이용한 공정변수 확인 및 공정개선

정영수*, 강창욱**, 변성규***
한양대학교 산업공학과*, 한양대학교 정보경영공학과**, 삼성전자로지텍(주) 국판물류팀***

# Identification Process Variables and Process Improvement Using Data Mining

Seong-Kyu Byeon, Jeong Young-Soo*, Gang Chang-Uk **, Byeon, Seong-Kyu ***
Domestic Logistics Team, Samsung Electronics Logitech Co. LTD***
Dept. of Industrial Engineering, Hanyang University*,
Dept. of Information & Industrial Engineering, Hanyang University**
[$AuthorMark7$]

### Abstract

With development of the database, there are too many data on process variables and the manufacturing process for the traditional statistical process control methods to identify the process variables related with assignable causes. Data mining is useful in this situation and provides variety of approaches for improving the process. In this paper, we applied control charts to monitor the process and if assignable causes are detected, then we applied the SVM technique and the sequence pattern analysis to find out the process variables suspected. These techniques made possible to predict the behavior of process variables. We illustrated our proposed methods with real manufacturing process data.