Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/259052
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dc.coverage.spatialInvestigations on Leagile Supply Chain Performance Measurement
dc.date.accessioned2019-09-25T06:59:42Z-
dc.date.available2019-09-25T06:59:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/259052-
dc.description.abstractDuring the past three decades, the world has witnessed the emergence of two paradigms under the titles, lean manufacturingand#8223; and agile manufacturingand#8223;. Lean manufacturing refers to the ability of producing traditional products by spending minimum resources through the elimination of wastes. Agile manufacturing refers to the practice of developing innovative products quickly in accordance with the dynamic demands of the customers without compromising profitability. While lean manufacturing has been applied to a large extent in companies, agile manufacturing is gaining momentum in implementing it implicitly and explicitly in companies. While modern manufacturing companies have been able to implement agile manufacturing, the traditional manufacturing companies have been implementing lean manufacturing and then moving towards acquiring agile capabilities. This situation has been promoting the need of implementing a paradigm that would combine both lean and agile manufacturing principles. In order to meet this requirement, researchers have brought out a paradigm under the title leagile manufacturingand#8223;. While leagile manufacturing is yet to find explicit adoption in companies, a section of researchers have been actively pursuing researches on the same. These researchers have found that supply chain management plays crucial role in effectively implementing leagile manufacturing in companies. On recognising this research finding, many researches have been carried out on leagile supply chain management. Hence, a need has arisen to enable the traditional manufacturing companies to implement leagile supply chain management principles. The success of implementing these principles lies in the successful measurement of the performance of leagile supply chains. newline newline newline
dc.format.extentxxv, 209p.
dc.languageEnglish
dc.relationp.201-208
dc.rightsuniversity
dc.titleInvestigations on leagile supply chain performance measurement
dc.title.alternative
dc.creator.researcherMaharaja R
dc.subject.keywordEngineering and Technology,Engineering,Engineering Electrical and Electronic
dc.subject.keywordLeagile
dc.subject.keywordSupply Chain
dc.description.note
dc.contributor.guideSakthivel M
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionDepartment of Mechanical Engineering
dc.date.registeredn.d.
dc.date.completed2018
dc.date.awarded30/11/2018
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mechanical Engineering

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01_title.pdfAttached File53.1 kBAdobe PDFView/Open
02_certificates.pdf2.39 MBAdobe PDFView/Open
03_abstract.pdf83.81 kBAdobe PDFView/Open
04_acknowledgement.pdf4.44 kBAdobe PDFView/Open
05_table of contents.pdf283.32 kBAdobe PDFView/Open
06_list_of_symbols and abbreviations.pdf4.71 kBAdobe PDFView/Open
07_chapter1.pdf111.4 kBAdobe PDFView/Open
08_chapter2.pdf170.82 kBAdobe PDFView/Open
09_chapter3.pdf296.6 kBAdobe PDFView/Open
10_chapter4.pdf231.18 kBAdobe PDFView/Open
11_chapter5.pdf249.25 kBAdobe PDFView/Open
12_chapter6.pdf248.82 kBAdobe PDFView/Open
13_chapter7.pdf503.73 kBAdobe PDFView/Open
14_chapter8.pdf438.99 kBAdobe PDFView/Open
15_conclusion.pdf24.35 kBAdobe PDFView/Open
16_appendices.pdf575.13 kBAdobe PDFView/Open
17_references.pdf119.28 kBAdobe PDFView/Open
18_list_of_publications.pdf84.46 kBAdobe PDFView/Open


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