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dc.contributor.authorUsubamatov, Ryspek, Prof. Dr.-
dc.contributor.authorKhairul Azwan, Ismail, Dr.-
dc.contributor.authorJamali, Md Sah-
dc.date.accessioned2014-02-21T02:12:05Z-
dc.date.available2014-02-21T02:12:05Z-
dc.date.issued2013-04-
dc.identifier.citationInternational Journal of Advanced Manufacturing Technology, vol. 66(1-4), 2013, pages 59-69en_US
dc.identifier.issn0268-3768-
dc.identifier.urihttp://link.springer.com/article/10.1007%2Fs00170-012-4305-y-
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/32074-
dc.descriptionLink to publisher's homepage at http://link.springer.com/en_US
dc.description.abstractThe basic attributes of any industrial machine are productivity rate, quality of products, as well as the cost and flexibility of manufacturing systems. Attributes of productivity are related to the theory of reliability, let alone the theory of efficiency of machines. The main attribute of reliability with any industrial machine is availability, which is the integrated index of the machine's reliability. The availability of industrial machines with complex designs should be a constituent of equations on productivity rate. This paper develops analytical equations of productivity rate with the availability of automated lines as a function of structural, technical and technological parameters of industrial machines. The equations allow for the output of automated lines to be modelled and their structures to be defined according to the level of productivity and availability.en_US
dc.language.isoenen_US
dc.publisherSpringer-Verlag London Limited.en_US
dc.subjectAutomated linesen_US
dc.subjectProductivityen_US
dc.subjectReliabilityen_US
dc.titleMathematical models for productivity and availability of automated linesen_US
dc.typeArticleen_US
dc.contributor.urlryspek@unimap.edu.myen_US
dc.contributor.urlk.azwan@unimap.edu.myen_US
dc.contributor.urljamali@unimap.edu.myen_US
Appears in Collections:Ryspek Usubamatov, Prof. Dr.
School of Manufacturing Engineering (Articles)
Khairul Azwan Ismail, Associate Professor Dr.
Jamali bin Md Sah

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