Applying improved median linkage heuristic for cell formation problem considering binary data. (26th July 2011)
- Record Type:
- Journal Article
- Title:
- Applying improved median linkage heuristic for cell formation problem considering binary data. (26th July 2011)
- Main Title:
- Applying improved median linkage heuristic for cell formation problem considering binary data
- Authors:
- Ghosh, Tamal
Dan, Pranab K. - Abstract:
- The crucial problem in cellular manufacturing system (CMS) is to identify the machine cells and corresponding part families to form the production cells. This article portrays a novel approach based on median linkage clustering (MLC) algorithm to form the production cells. The projected technique is demonstrated in two portions. Firstly, the MLC procedure and Nei and Li's similarity coefficient method are incorporated to obtain the machine cells. Thereafter, a modified part assignment technique is recommended to form the corresponding part-families. The proposed technique is shown to outperform the other published methodologies and produced improved solutions for the test datasets.
- Is Part Of:
- International journal of modelling in operations management. Volume 1:Number 4(2011)
- Journal:
- International journal of modelling in operations management
- Issue:
- Volume 1:Number 4(2011)
- Issue Display:
- Volume 1, Issue 4 (2011)
- Year:
- 2011
- Volume:
- 1
- Issue:
- 4
- Issue Sort Value:
- 2011-0001-0004-0000
- Page Start:
- 344
- Page End:
- 358
- Publication Date:
- 2011-07-26
- Subjects:
- cell formation -- CF -- median linkage algorithm -- cluster analysis -- heuristic -- cellular manufacturing modelling
Industrial management -- Mathematical models -- Periodicals
658.50072 - Journal URLs:
- http://www.inderscience.com/browse/index.php?journalCODE=ijmom ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 2042-4094
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8834.xml