Trade-off in robustness, cost and performance by a multi-objective robust production optimization method
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 investiga...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/82422/1/Trade-off%20in%20robustness.pdf |
| _version_ | 1796981037324042240 |
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| author | Parnianifard, Amir Ahmad, Siti Azfanizam Mohd Ariffin, Mohd Khairol Anuar Ismail, Mohd Idris Shah |
| author_facet | Parnianifard, Amir Ahmad, Siti Azfanizam Mohd Ariffin, Mohd Khairol Anuar Ismail, Mohd Idris Shah |
| author_sort | Parnianifard, Amir |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T10:31:51Z |
| format | Article |
| id | upm.eprints-82422 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:31:51Z |
| publishDate | 2019 |
| publisher | Growing Science |
| record_format | dspace |
| spelling | upm.eprints-824222021-02-01T19:44:00Z http://psasir.upm.edu.my/id/eprint/82422/ Trade-off in robustness, cost and performance by a multi-objective robust production optimization method Parnianifard, Amir Ahmad, Siti Azfanizam Mohd Ariffin, Mohd Khairol Anuar Ismail, Mohd Idris Shah 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. Growing Science 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/82422/1/Trade-off%20in%20robustness.pdf 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 10.5267/j.ijiec.2018.2.001 |
| spellingShingle | Parnianifard, Amir Ahmad, Siti Azfanizam Mohd Ariffin, Mohd Khairol Anuar Ismail, Mohd Idris Shah Trade-off in robustness, cost and performance by a multi-objective robust production optimization method |
| title | Trade-off in robustness, cost and performance by a multi-objective robust production optimization method |
| title_full | Trade-off in robustness, cost and performance by a multi-objective robust production optimization method |
| title_fullStr | Trade-off in robustness, cost and performance by a multi-objective robust production optimization method |
| title_full_unstemmed | Trade-off in robustness, cost and performance by a multi-objective robust production optimization method |
| title_short | Trade-off in robustness, cost and performance by a multi-objective robust production optimization method |
| title_sort | trade off in robustness cost and performance by a multi objective robust production optimization method |
| url | http://psasir.upm.edu.my/id/eprint/82422/1/Trade-off%20in%20robustness.pdf |
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