Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/7353
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dc.contributor.authorLad, Bhupesh Kumaren_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-21T10:53:49Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-21T10:53:49Z-
dc.date.issued2013-
dc.identifier.citationLad, B. K., & Kulkarn, M. S. (2013). Reliability and maintenance based design of machine tools. International Journal of Performability Engineering, 9(3), 321-332.en_US
dc.identifier.issn0973-1318-
dc.identifier.otherEID(2-s2.0-84880653682)-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/7353-
dc.description.abstractIn this paper a methodology for selection of optimal machine tool configuration by simultaneously considering reliability and maintenance is developed. Methodology is based on measures like Life Cycle Cost (LCC), Availability (A) and Overall Equipment Effectiveness (OEE). These measures explicitly consider the user's cost structure and shop floor level policy parameters. A simulation based Genetic Algorithm (GA) is used to solve the simultaneous optimization problem. Case example using operations and maintenance data of a CNC grinding machine is presented. © RAMS Consultants.en_US
dc.language.isoenen_US
dc.sourceInternational Journal of Performability Engineeringen_US
dc.subjectCNC grinding machinesen_US
dc.subjectCost structureen_US
dc.subjectLife cycle costs (LCC)en_US
dc.subjectLifecycle costsen_US
dc.subjectOperations and maintenanceen_US
dc.subjectOverall equipment effectivenessen_US
dc.subjectReliability designen_US
dc.subjectSimultaneous optimizationen_US
dc.subjectAvailabilityen_US
dc.subjectGenetic algorithmsen_US
dc.subjectLife cycleen_US
dc.subjectMachine toolsen_US
dc.subjectOptimizationen_US
dc.subjectReliabilityen_US
dc.subjectMaintenanceen_US
dc.titleReliability and maintenance based design of machine toolsen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Mechanical Engineering

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