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dc.contributor.authorTan, Jully
dc.contributor.authorFoo, Dominic Chwan Yee, Dr.
dc.contributor.authorSivakumar, Kumaresan, Dr.
dc.contributor.authorRamlan, Abdul Aziz, Prof.
dc.date.accessioned2011-09-04T00:56:31Z
dc.date.available2011-09-04T00:56:31Z
dc.date.issued2008-12
dc.identifier.citationThe Journal of the Institution of Engineers, Malaysia, vol. 68(4), 2008, pages 30-37en_US
dc.identifier.issn0126-513X
dc.identifier.urihttp://myiem.org.my/content/iem_journal_2008-179.aspx
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/13626
dc.descriptionLink to publisher's homepage at http://www.myiem.org.my/en_US
dc.description.abstractThe main objective of this work is to model and to debottleneck a batch pharmaceutical production with computer-aided process design (CAPD) and simulation tools. An eye drop production case study is firstly modelled based on a pharmaceutical production plant. Throughput analysis is next utilised to identify process bottlenecks that limit the increase of production and to evaluate different debottlenecking schemes. Scheme 1 considers an effort to maximise process throughput for a single batch operation, while Schemes 2 and 3 explore the possibility of minimising combined utilisation value of the process bottleneck. With the increase of batch throughput, installation of a new labelling process and the addition of an intermediate tank, Scheme 3 is identified as the debottlenecking scheme that achieves the increased production demand of 25%.en_US
dc.language.isoenen_US
dc.publisherThe Institution of Engineers, Malaysiaen_US
dc.subjectBatch processingen_US
dc.subjectDebottleneckingen_US
dc.subjectModelling and optimisationen_US
dc.subjectPharmaceutical productionen_US
dc.subjectThroughput analysisen_US
dc.titleComputer-aided process design tools for debottlenecking a batch pharmaceutical productionen_US
dc.typeArticleen_US
dc.contributor.urltanjully@ucsi.edu.myen_US
dc.contributor.urldominic.foo@nottingham.edu.myen_US
dc.contributor.urlshiva@ums.edu.myen_US
dc.contributor.urlramlan@cepp.utm.myen_US


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