Title: Discovery of association rules from manufacturing data

Authors: Ashraf A. Afify

Addresses: Manufacturing Engineering Centre, Cardiff University, Cardiff CF24 3AA, UK; Industrial Engineering Department, Faculty of Engineering, Zagazig University, Egypt

Abstract: Manufacturing activities generate large quantities of data and it is no longer practical to rely on traditional manual methods to analyse these data. Data mining offers tools for efficient knowledge extraction, leading to significant improvement in the decision-making process. Association rule mining is one of the most important data mining techniques and has received considerable attention from researchers and practitioners. It aims to identify interesting relationships among a large set of data items. To date, little work has been done to exploit association rule mining tools in manufacturing. This paper presents the basic concepts of association rule mining and describes a number of its recent applications in manufacturing. The paper also presents a case study concerning the use of association rule mining in a steel bar manufacturing company.

Keywords: data mining; association rule mining; association rules; manufacturing data; steel bar manufacturing.

DOI: 10.1504/IJCAET.2011.040053

International Journal of Computer Aided Engineering and Technology, 2011 Vol.3 No.3/4, pp.360 - 371

Published online: 13 May 2011 *

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