One of the important considerations in plant design is to be able to accommodate changing product demands of future markets. Competing markets makes a high degree of market adaptation and orientation necessary. This paper presents a standardized module-based approach to integrate the data-analysis and robust design optimization stages, that have been traditionally performed separately, to generate a set of designs that span the entire demand space in an cost-optimal fashion, thus resulting in significant economic savings for both the manufacturers and the customers. A case study of design of a reactor-separator system is presented to illustrate the applicability of the proposed approach.
All Science Journal Classification (ASJC) codes
- Chemical Engineering(all)
- Computer Science Applications
- Robust Optimization