Robustness criteria in process design optimization under uncertainty Conference Paper

abstract

• 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.

authors

• Pistikopoulos, Stratos

published proceedings

• COMPUTERS & CHEMICAL ENGINEERING

author list (cited authors)

• Bernardo, F. P., Pistikopoulos, E. N., & Saraiva, P. M.

citation count

• 23

complete list of authors

• Bernardo, FP||Pistikopoulos, EN||Saraiva, PM

publication date

• June 1999

publisher

• Elsevier  Publisher

published in

• Computers and Chemical Engineering  Journal

keywords

• Quality Engineering
• Robust Design
• Stochastic Optimization
• Uncertainty

Digital Object Identifier (DOI)

• 10.1016/S0098-1354(99)80113-6

start page

• S459

end page

• S462

volume

• 23

issue

• SUPPL. 1

URL

• http://dx.doi.org/10.1016/s0098-1354(99)80113-6