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Trade-off in robustness, cost and performance by a multi-objective robust production optimization method


Parnianifard, Amir and Ahmad, Siti Azfanizam and Mohd Ariffin, Mohd Khairol Anuar and Ismail, Mohd Idris Shah (2019) Trade-off in robustness, cost and performance by a multi-objective robust production optimization method. International Journal of Industrial Engineering Computations, 10 (1). pp. 133-148. ISSN 1923-2926; ESSN: 1923-2934


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 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 () is applied. At the end, a numerical chemical mixture problem is served to show the applicability of the proposed method.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.5267/j.ijiec.2018.2.001
Publisher: Growing Science
Keywords: Robust design; Loss function; Uncertainty; Response surface methodology; Process optimization
Depositing User: Mr. Sazali Mohamad
Date Deposited: 01 Feb 2021 19:44
Last Modified: 01 Feb 2021 19:44
Altmetrics: http://www.altmetrics.com/details.php?domain=pasir.upm.edu.my&doi=10.5267/j.ijiec.2018.2.001
URI: http://psasir.upm.edu.my/id/eprint/82422
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