Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15517
Title: A hybrid OLAP-association rule mining based quality management system for extracting defect patterns in the garment industry
Authors: Lee, CKH
Choy, KL 
Ho, GTS
Chin, KS
Law, KMY
Tse, YK
Keywords: Association rule mining
Garment defect
Garment industry
OLAP
Quality management
Issue Date: 2013
Publisher: Pergamon Press
Source: Expert systems with applications, 2013, v. 40, no. 7, p. 2435-2446 How to cite?
Journal: Expert systems with applications 
Abstract: In today's garment industry, garment defects have to be minimized so as to fulfill the expectations of demanding customers who seek products of high quality but low cost. However, without any data mining tools to manage massive data related to quality, it is difficult to investigate the hidden patterns among defects which are important information for improving the quality of garments. This paper presents a hybrid OLAP-association rule mining based quality management system (HQMS) to extract defect patterns in the garment industry. The mined results indicate the relationship between defects which serves as a reference for defect prediction, root cause identification and the formulation of proactive measures for quality improvement. Because real-time access to desirable information is crucial for survival under the severe competition, the system is equipped with Online Analytical Processing (OLAP) features so that manufacturers are able to explore the required data in a timely manner. The integration of OLAP and association rule mining allows data mining to be applied on a multidimensional basis. A pilot run of the HQMS is undertaken in a garment manufacturing company to demonstrate how OLAP and association rule mining are effective in discovering patterns among product defects. The results indicate that the HQMS contributes significantly to the formulation of quality improvement in the industry.
URI: http://hdl.handle.net/10397/15517
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2012.10.057
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