Robustness criteria in process design optimization under uncertainty
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The incorporation of robustness criteria in process design under uncertainty is a key issue to derive optimal designs for quality. This article presenls a systematic design framework for process quality that embeds Taguchi's method within a stochastic optimization formulation. The problem is formulated as a single-level optimization problem with expected objective function values computed by an efficient cubature technique. The solution obtained determines an optimal design together with a robust operating policy that maximize average process performance. A process example of a reactor and heat exchanger is provided. 1999 Elsevier Science Ltd.
Computers & Chemical Engineering
author list (cited authors)
Bernardo, F. P., Pistikopoulos, E. N., & Saraiva, P. M.
complete list of authors
Bernardo, Fernando P||Pistikopoulos, Efstratios N||Saraiva, Pedro M