Publication
Title
Lexicographical dynamic goal programming approach to arobust design optimization within the pharmaceutical environment
Author
Abstract
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.
Language
English
Source (journal)
European journal of operational research. - Amsterdam
Publication
Amsterdam : 2013
ISSN
0377-2217
Volume/pages
229(2013), p. 505-517
ISI
000319307600022
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
External links
Web of Science
Record
Identification
Creation 15.04.2014
Last edited 20.06.2017
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