Process design under uncertainty: Robustness criteria and value of information
Academic Article
Overview
Identity
Additional Document Info
Other
View All
Overview
abstract
In the last three decades, process design under uncertainty has evolved as an optimization-based tool to systematically handle uncertainty at an early design stage thus avoiding overdesign, underdesign or other suboptimal decisions. In this chapter, we address this issue presenting a generic framework to guide the decision-maker on the design problem definition that systematises several considerations and assumptions, namely regarding constraints violation, uncertainty classification and modelling, operating policy and decision-making criteria under uncertainty. This generic framework is then explored for handling process robustness and value of information features. A case study of a reactor and heat exchanger system illustrates the several presented formulations, namely optimal process design accounting for product quality and optimal R&D decisions in order to selectively reduce uncertainties. 2003 Elsevier B.V. All rights reserved.
