Robust design modelling and optimisation using response surface methodology and inverse problem. (1st January 2011)

• Record Type: Journal Article
• Authors: Truong, Nguyen Khoa Viet; Shin, Sangmun; Jeong, Seong Hoon
• Is Part Of: International journal of experimental design and process optimisation. Volume 2:Number 3(2011)
• Page Start: 202
• Page End: 220
• Publication Date: 2011-01-01
• Subjects: robust design -- RD -- inverse problem -- IP -- pharmaceutical process -- response surface methodology -- RSM -- mean squared error -- MSE -- multiple responses; Experimental design -- Periodicals; Process control -- Statistical methods -- Periodicals; 620.0072
• Languages: English
• ISSNs: 2040-2252

Abstract

This paper focuses on solving the robust design (RD) problem that occurs in pharmaceutical studies in which output responses are measured over time. In order to handle such a situation, firstly, a customised experimental format is proposed for pharmaceutical experimental design. Using both response surface methodology (RSM) and a new inverse problem (IP) approach, a customised method of estimation also is developed to handle dynamic time-series as well as multiple responses for pharmaceutical experiments. Next, a new inverse problem-based robust design (IPRD) model is proposed based on the mean squared error (MSE) concept. For verification and comparison, a case study of a pharmaceutical experiment is conducted.