Reliability-based robust design optimization: A comparative study

Author

Rathod, Vijay ; Yadav, Om Prakash ; Rathore, Ajay ; Jain, Rakesh

Author_Institution

Dept. of Mech. Eng., Malaviya Nat. Inst. of Technol., Jaipur, India

fYear

2011

fDate

6-9 Dec. 2011

Firstpage

1558

Lastpage

1563

Abstract

Reliability-based robust design optimization (RBRDO) is one of the most essential tools developed in recent years to improve the quality and reliability of the products at an early design stage. This paper presents a comparative study of different formulation approaches of RBRDO models and their performances. The paper also proposes an evolutionary multi-objective genetic algorithm (MOGA) to one of the promising hybrid quality loss functions (HQLF)-based RBRDO model. The enhanced effectiveness of the RBRDO model is demonstrated by optimizing suitable example.

Keywords

genetic algorithms; product design; quality management; reliability; HQLF-based RBRDO model; MOGA; RBRDO models; enhanced effectiveness; evolutionary multiobjective genetic algorithm; hybrid quality loss functions; product quality; product reliability; reliability-based robust design optimization; Biological system modeling; Optimization; Probabilistic logic; Reliability engineering; Robustness; Structural beams; Reliability-based design optimization; multi-objective genetic algorithms; robust design optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on

Conference_Location

Singapore

ISSN

2157-3611

Print_ISBN

978-1-4577-0740-7

Electronic_ISBN

2157-3611

Type

conf

DOI

10.1109/IEEM.2011.6118179

Filename

6118179