1. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Design variables for VCOP Figure Legend:

2. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Nondominated solutions obtained for VCOP (median run) using DF Figure Legend:

3. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Nondominated solutions obtained for VCOP (median run) using FR formulation Figure Legend:

4. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Nondominated solutions obtained for VCOP (median run) using FPR formulation Figure Legend:

5. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Sigma g and Sigma f obtained from median run of DBEA-rg using FPR for VCOP Figure Legend:

6. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Obtained robust nondominated fronts for VCOP using FPR for redesign cases 1, 2, 3 for a median run Figure Legend:

7. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Sigma f and Sigma g for obtained robust nondominated fronts for VCOP using FPR for redesign cases 1, 2, 3 for a median run Figure Legend:

8. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Nondominated solutions from median run of DBEA-rg using DF for GAA Figure Legend:

9. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Nondominated solutions from median run of DBEA-rg using FR for GAA Figure Legend:

10. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Nondominated solutions from median run of DBEA-rg using FPR for GAA Figure Legend:

11. Date of download: 7/7/2016 Copyright © ASME. All rights reserved. From: An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems J. Mech. Des. 2015;137(5):051404-051404-14. doi:10.1115/1.4029704 Sigma g and Sigma f obtained from median run of DBEA-rg using FPR, Gaussian LHS with averaging, sample size 100 Figure Legend: