An Overview on Robust Design Hybrid Metamodeling: Advanced Methodology in Process Optimization Under Uncertainty

International Journal of Industrial Engineering Computations 9 (2018) 1–32

32 Pages Posted: 10 Aug 2018

See all articles by Amir Parnianifard

Amir Parnianifard

University Putra Malaysia

A Azfanizam

University Putra Malaysia

Mohd Khairol Anuar Mohd Ariffin

University Putra Malaysia

Mohd Idris Shah Ismail

University Putra Malaysia

Date Written: May 26, 2017

Abstract

Nowadays, process optimization has been an interest in engineering design for improving the performance and reducing cost. In practice, in addition to uncertainty or noise parameters, a comprehensive optimization model must be able to attend other circumstances which might be imposed in problems under real operational conditions such as dynamic objectives, multi-responses, various probabilistic distribution, discrete and continuous data, physical constraints to design parameters, performance cost, computational complexity and multi-process environment. The main goal of this paper is to give a general overview on topics with brief systematic review and concise discussions about the recent development on comprehensive robust design optimization methods under hybrid aforesaid circumstances. Both optimization methods of mathematical programming based on Taguchi approach and robust optimization based on scenario sets are briefly described. Metamodels hybrid robust design is discussed as an appropriate methodology to decrease computational complexity in problems under uncertainty. In this context, the authors’ policy is to choose important topics for giving a systematic picture to those who wish to be more familiar with recent studies about robust design optimization hybrid metamodels, also by attending real circumstances in practice. In particular, production and project management are considered as two important methodologies that could be improved by applications of advanced robust design combining with metamodel methods.

Keywords: Robust Design, Metamodeling, Uncertainty, Process Optimization

Suggested Citation

Parnianifard, Amir and Azfanizam, A and Ariffin, Mohd Khairol Anuar Mohd and Ismail, Mohd Idris Shah, An Overview on Robust Design Hybrid Metamodeling: Advanced Methodology in Process Optimization Under Uncertainty (May 26, 2017). International Journal of Industrial Engineering Computations 9 (2018) 1–32. Available at SSRN: https://ssrn.com/abstract=3220477

Amir Parnianifard (Contact Author)

University Putra Malaysia ( email )

Selangor Darul Ehsan
Serdang, Selangor 43400
Malaysia
00989138207031 (Phone)

HOME PAGE: http://https://sites.google.com/site/aparnianifard/

A Azfanizam

University Putra Malaysia ( email )

Selangor Darul Ehsan
Serdang, Selangor 43400
Malaysia

Mohd Khairol Anuar Mohd Ariffin

University Putra Malaysia ( email )

Selangor Darul Ehsan
Serdang, Selangor 43400
Malaysia

Mohd Idris Shah Ismail

University Putra Malaysia ( email )

Selangor Darul Ehsan
Serdang, Selangor 43400
Malaysia

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