Title: Robust design modelling and optimisation using response surface methodology and inverse problem
Authors: Nguyen Khoa Viet Truong; Sangmun Shin; Seong Hoon Jeong
Addresses: Department of System Management and Engineering, Inje University, Gimhae, 621-749, South Korea. ' Department of System Management and Engineering, Inje University, Gimhae, 621-749, South Korea. ' College of Pharmacy, Pusan National University, Busan, 609-735, South Korea
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.
Keywords: robust design; inverse problem; pharmaceutical process; response surface methodology; RSM; mean squared error; MSE; multiple responses; modelling; optimisation.
International Journal of Experimental Design and Process Optimisation, 2011 Vol.2 No.3, pp.202 - 220
Published online: 24 Sep 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article