dc.contributor.author | Ghosh, Tamal | |
dc.contributor.author | Dan, Pranab | |
dc.date.accessioned | 2019-01-21T14:04:39Z | |
dc.date.available | 2019-01-21T14:04:39Z | |
dc.date.created | 2018-12-17T11:43:18Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | International Journal of Modelling in Operations Management. 2011, 1 (4), 344-358. | nb_NO |
dc.identifier.issn | 2042-4108 | |
dc.identifier.uri | http://hdl.handle.net/11250/2581599 | |
dc.description.abstract | 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. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Inderscience | nb_NO |
dc.title | Applying improved median linkage heuristic for cell formation problem considering binary data | nb_NO |
dc.type | Journal article | nb_NO |
dc.description.version | submittedVersion | nb_NO |
dc.source.pagenumber | 344-358 | nb_NO |
dc.source.volume | 1 | nb_NO |
dc.source.journal | International Journal of Modelling in Operations Management | nb_NO |
dc.source.issue | 4 | nb_NO |
dc.identifier.doi | 10.1504/IJMOM.2011.041524 | |
dc.identifier.cristin | 1644053 | |
dc.description.localcode | This is a submitted manuscript of an article published by Inderscience in International Journal of Modelling in Operations Management, 2011 | nb_NO |
cristin.unitcode | 194,64,94,0 | |
cristin.unitname | Institutt for vareproduksjon og byggteknikk | |
cristin.ispublished | true | |
cristin.fulltext | preprint | |