Trade-Off in Robustness, Cost and Performance by a Multi-Objective Robust Production Optimization Method

International Journal of Industrial Engineering Computations 10 133–148, Forthcoming

16 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: February 07, 2018

Abstract

Designing a production process normally is involved with some important constraints such as uncertainty, trade-off between production costs and quality, customer’s expectations and production tolerances. In this paper, a novel multi-objective robust optimization model is introduced to investigate the best levels of design variables. The primary objective is to minimize the production cost while increasing robustness and performance. The response surface methodology is utilized as a common approximation model to fit the relationship between responses and design variables in the worst-case scenario of uncertainties. The target mean ratio α is applied to ensure the quality of the process by providing the robustness for all types of quality characteristics and with a trade-off between variability and deviance from the ideal point. The Lp metric method is used to integrate all objectives in one overall function. In order to estimate target value of the quality loss by considering production tolerances, the process capability ratio (C) is applied. At the end, a numerical chemical mixture problem is served to show the applicability of the proposed method.

Keywords: Robust Design, Loss Function, Uncertainty, Response Surface Methodology, Process Optimization

Suggested Citation

Parnianifard, Amir and Azfanizam, A and Ariffin, Mohd Khairol Anuar Mohd and Ismail, Mohd Idris Shah, Trade-Off in Robustness, Cost and Performance by a Multi-Objective Robust Production Optimization Method (February 07, 2018). International Journal of Industrial Engineering Computations 10 133–148, Forthcoming . Available at SSRN: https://ssrn.com/abstract=3220469

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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