Ulster University Logo

Ulster Institutional Repository

Disentangling causal relationships of a manufacturing process using genetic algorithms and six sigma techniques

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Johnston, AB, Maguire, LP and McGinnity, TM (2008) Disentangling causal relationships of a manufacturing process using genetic algorithms and six sigma techniques. International Journal of Production Research, 46 (22). pp. 6251-6268. [Journal article]

Full text not available from this repository.

DOI: 10.1080/00207540701427029

Abstract

The manufacturing of hard disk drive storage is a highly competitive industry due to ever changing technology and the introduction of solid-state storage. Therefore manufacturers have introduced business improvement techniques to help leverage manufacturing advantages over competitors. This paper aims to investigate the integration of business improvement methodologies with intelligent techniques for the improvement of manufacturing efficiency. The authors use a case study based on the disentangling of causal relationships during the manufacturing of hard disk drive components. This paper reports on the application of intelligent system techniques to aid implementation of business improvement methodologies within this manufacturing environment. The results reported highlight that significant gains may be made when utilizing such a hybrid approach. The approach is validated by determining the secondary effects that degraded a previously implemented six-sigma project and also by identifying areas of investigation that enabled engineers to improve process yield.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:10333
Deposited By:Professor Liam Maguire
Deposited On:01 Feb 2010 12:04
Last Modified:15 Jun 2011 11:09

Repository Staff Only: item control page