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Title
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Lexicographical dynamic goal programming approach to arobust design optimization within the pharmaceutical environment
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Author
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Abstract
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| The primary objective ofthis paper istodevelop anew robust design (RD)optimization procedure based on alexicographical dynamic goal programming (LDGP)approach for implementing time-series based multi-responses, while the conve ntional experimental design formats and frameworks may implement static responses. First,aparameter estimation method for time-dependent pharmaceutical responses (i.e., drug release and gelati onkinetics)isproposed using the dual response estimation concept that separately estimates the response functions ofthe mean and variance,asapart ofresponse surface method. Second,amulti-objective RDoptimization model using the estimated response functions ofboth the process mean and variance isproposed byincorpor ating atime-series components within adynamic modeling environment. Finally,apharmaceutical case study associated with ageneric drug development process is conducted for verificationpurposes.Based onthe case study results,weconclude that the pro- posed LDGP approach effectively provides the optimal drug formulations with significantlysmall biases and MSE values,compared toother models. |
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Language
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English
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Source (journal)
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European journal of operational research. - Amsterdam
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Publication
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Amsterdam
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2013
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ISSN
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0377-2217
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DOI
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10.1016/J.EJOR.2013.02.017
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Volume/pages
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229
(2013)
, p. 505-517
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ISI
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000319307600022
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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