Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/4684

Title: A data mining integrated architecture for shop floor control
Authors: Srinivas
Harding, Jennifer A.
Keywords: Shop floor control
Data mining
Decision support system
Agent technology
Continuous learning
Issue Date: 2008
Publisher: Professional Engineering Publishing / © IMechE
Citation: SRINIVAS and HARDING, J.A., 2008. A data mining integrated architecture for shop floor control. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 222 (5), pp. 605-624
Abstract: The dynamics of the market are forcing shop floor control systems to enhance their intelligence and reactivity to change. The control system must also have mechanisms to process the vast amount of data, which is generated with the application of cheap data logging systems and should also incorporate a mechanism for continuous learning. Data mining provides a mechanism for analysing data and generating new knowledge. This paper presents an intelligent knowledge-based decision support system for shop floor control, which incorporates data mining techniques and intelligent agent technology to provide useful information, knowledge, and a mechanism for continuous learning. The functioning of the system is described and the architecture of different agents that constitute the system has been discussed in terms of the different modules required. A process to integrate the individual data mining agents associated with the different processes has also been described. Finally a prototype of the system is presented to demonstrate the application of this agent-based system.
Description: This is an article from the journal, Proceedings of the IMechE, Part B: Journal of Engineering Manufacture [© IMechE]. It is also available at: http://journals.pepublishing.com/content/119784/?p=710e956435344e5bb554ce59223c763c&pi=0
Version: Published
DOI: 10.1243/09544054JEM980
URI: https://dspace.lboro.ac.uk/2134/4684
ISSN: 0954-4054
Appears in Collections:Published Articles (Mechanical and Manufacturing Engineering)

Files associated with this item:

File Description SizeFormat
a data mining.pdfPaper457.32 kBAdobe PDFView/Open
CoverforPDF.pdfCover sheet26.42 kBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.