Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/332385
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dc.coverage.spatialEffect of implementing cell formation algorithm for cellular manufacturing systems
dc.date.accessioned2021-07-19T08:39:54Z-
dc.date.available2021-07-19T08:39:54Z-
dc.identifier.urihttp://hdl.handle.net/10603/332385-
dc.description.abstractCellular Manufacturing is one of the lean manufacturing approaches that helps organizations to build variety of products for their customers with due considerations on economy and lead time. Cellular manufacturing layouts are designed by means of an integrated matrix form dataand#8223;s consisting of both parts produced by organizations and machineries, commonly termed as machine component incident matrix (MCIM). MCIM is the key input for Cell design which is the most important process in implementing Cellular Manufacturing systems through the application of group technology. Cell design ensures the effective utilization of equipments and workstations in cell clusters. Clustering of the facilities is done by taking the advantage of similarity in manufacturing process of different parts. Clustering algorithms like Direct Clustering Algorithm (DCA), Rank Order Clustering algorithm (ROC) and Single Linkage clustering algorithm (SLC) are commonly applied algorithms for clustering the facilities. DCA as well as ROC are array based clustering algorithms and SLC works on grouping of machines based on manufacturing similarity. Data sets for Machine Component Incident Matrix (MCIM) are collected from the Pump Industries and the development environment used for the research work is R-Tool and MATLAB. MCIM is formed as input for analysis by varying no of workstations and parts. Various sizes of MCIM have been framed with matrix sizes in the range of 5x7, 7x8 type 1, 7x 8 type 2 and 7x11. Two matrices of same sizes (i.e.) type 1 and type 2 have been formulated to analyze the impact of interaction cells. newline
dc.format.extentxxi, 153p.
dc.languageEnglish
dc.relationp.143-152
dc.rightsuniversity
dc.titleEffect of implementing cell formation algorithm for cellular manufacturing systems
dc.title.alternative
dc.creator.researcherSathish S
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Mechanical
dc.subject.keywordcell formation
dc.subject.keywordcellular
dc.description.note
dc.contributor.guideLakshmanan A R and Karuppuswamy P
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Mechanical Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Mechanical Engineering

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03_vivaproceedings.pdf220.94 kBAdobe PDFView/Open
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05_abstracts.pdf180.97 kBAdobe PDFView/Open
06_acknowledgements.pdf254.48 kBAdobe PDFView/Open
07_contents.pdf200.53 kBAdobe PDFView/Open
08_listoftables.pdf172.2 kBAdobe PDFView/Open
09_listoffigures.pdf132.79 kBAdobe PDFView/Open
10_listofabbreviations.pdf161.01 kBAdobe PDFView/Open
11_chapter1.pdf580.2 kBAdobe PDFView/Open
12_chapter2.pdf494.31 kBAdobe PDFView/Open
13_chapter3.pdf428.57 kBAdobe PDFView/Open
14_chapter4.pdf517.25 kBAdobe PDFView/Open
15_chapter5.pdf768.37 kBAdobe PDFView/Open
16_chapter6.pdf865.2 kBAdobe PDFView/Open
17_chapter7.pdf807.11 kBAdobe PDFView/Open
18_chapter8.pdf635.3 kBAdobe PDFView/Open
19_conclusion.pdf249.2 kBAdobe PDFView/Open
20_references.pdf385.42 kBAdobe PDFView/Open
21_listofpublications.pdf261.99 kBAdobe PDFView/Open
80_recommendation.pdf60.05 kBAdobe PDFView/Open


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