Journal article
Data Mining in Manufacturing: A Review
Journal of manufacturing science and engineering, Vol.128(4), pp.969-976
11/01/2006
DOI: 10.1115/1.2194554
Abstract
The paper reviews applications of data mining in manufacturing engineering, in particular production processes, operations, fault detection, maintenance, decision support, and product quality improvement. Customer relationship management, information integration aspects, and standardization are also briefly discussed. This review is focused on demonstrating the relevancy of data mining to manufacturing industry, rather than discussing the data mining domain in general. The volume of general data mining literature makes it difficult to gain a precise view of a target area such as manufacturing engineering, which has its own particular needs and requirements for mining applications. This review reveals progressive applications in addition to existing gaps and less considered areas such as manufacturing planning and shop floor control.
Details
- Title: Subtitle
- Data Mining in Manufacturing: A Review
- Creators
- J. A Harding - Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, Loughborough, Leicestershire LE2 4LA, UKM Shahbaz - Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, Loughborough, Leicestershire LE2 4LA, UKA Kusiak - Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242-1527
- Resource Type
- Journal article
- Publication Details
- Journal of manufacturing science and engineering, Vol.128(4), pp.969-976
- Publisher
- ASME
- DOI
- 10.1115/1.2194554
- ISSN
- 1087-1357
- eISSN
- 1528-8935
- Language
- English
- Date published
- 11/01/2006
- Academic Unit
- Nursing; Industrial and Systems Engineering
- Record Identifier
- 9984064114202771
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