%0 Journal Article %T Developing a multi-objective multi-disciplinary robust design optimization framework %J Scientia Iranica %I Sharif University of Technology %Z 1026-3098 %A Meibody, M. N. P. %A Naseh, H. %A Ommi, F. %D 2021 %\ 08/01/2021 %V 28 %N 4 %P 2150-2163 %! Developing a multi-objective multi-disciplinary robust design optimization framework %K Multi-Disciplinary Design Optimization (MDO) %K Robust Design Optimization (RDO) %K Bi-Level Integrated System Synthesis (BLISS) %K Progressive Latin Hypercube Sampling (PLHS) %K Hydrazine Monopropellant Thruster %R 10.24200/sci.2021.55306.4159 %X The purpose of this study is to provide an efficient Multi-Objective Multidisciplinary Robust Design Optimization (MOMRDO) framework. To this end, Bi-Level Integrated System Synthesis (BLISS) framework is implemented as a fast Multi-disciplinary Design Optimization (MDO) framework. Progressive Latin Hypercube Sampling (PLHS) is developed as a Design of Experiment (DOE) of the Uncertainty Analysis (UA). This systematic approach leads to a fast, adaptive and efficient framework for Robust Design Optimization (RDO) of complex systems. The accuracy and performance of the proposed algorithm have been evaluated with various tests. Finally, the RDO of a hydrazine monopropellant thruster is defined as a case study. The results show that the proposed method is a fast and efficient method for the multi-objective optimization design of complex systems, and this approach can be used for other engineering applications as well. %U https://scientiairanica.sharif.edu/article_22250_7ed3b56a5cad06fd7366db53ed29955f.pdf