Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/455666
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dc.coverage.spatial
dc.date.accessioned2023-01-31T08:54:51Z-
dc.date.available2023-01-31T08:54:51Z-
dc.identifier.urihttp://hdl.handle.net/10603/455666-
dc.description.abstractIn the Digital manufacturing and cloud manufacturing environment, Predictive analytics newlineand real-time monitoring are gaining importance and becoming the main driver for newlineimplementing the same. The current research focuses to evolve a reliable design for newlinepredicting the Overall Equipment Effectiveness (OEE) estimation of Total Productive newlineMaintenance (TPM) which is an important measure for comparing the performance newlineof various industries. Because of this, a predictive model is developed along with loss newlineprediction using Matlab, R studio, and Python. Also to improve productivity monitoring newlinethe health of the equipment with the approach of Prognostic health monitoring and newlineimplementing occupational ergonomics are studied and proposed using case studies newlinecarried out in auto ancillary industries. newline
dc.format.extenti-xii, 134
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleImproving Plant Productivity by OEE Loss Prediction and Occupational Ergonomics
dc.title.alternative
dc.creator.researcherChintada Anusha
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Mechanical
dc.description.note
dc.contributor.guideUmasankar, V
dc.publisher.placeVellore
dc.publisher.universityVellore Institute of Technology (VIT) University
dc.publisher.institutionSchool of Mechanical Engineering-VIT-Chennai
dc.date.registered2016
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Mechanical Engineering-VIT-Chennai

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01_title.pdfAttached File59.66 kBAdobe PDFView/Open
02_prelim pages.pdf148.27 kBAdobe PDFView/Open
03_content.pdf72.1 kBAdobe PDFView/Open
04_abstract.pdf51.03 kBAdobe PDFView/Open
05_chapter 1.pdf575.51 kBAdobe PDFView/Open
06_chapter 2.pdf348.9 kBAdobe PDFView/Open
07_chapter 3.pdf768.74 kBAdobe PDFView/Open
08_chapter 4.pdf794.43 kBAdobe PDFView/Open
09_chapter 5.pdf45.38 kBAdobe PDFView/Open
10_annexure.pdf196.31 kBAdobe PDFView/Open
80_recommendation.pdf64.13 kBAdobe PDFView/Open


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