Optimization Model of Raw Material Selection Process for Complex Industry Based on Improved Sequential Quadratic Programming Algorithm

Raw materials for industrial production mainly come from nature with wide sources and uneven quality, while production requires strictly with the materials’ quality and their quality indicators are very mutual coupling. In actual production, unreasonable combination and formula often exist in the pr...

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Vydané v:	International journal of computational intelligence systems Ročník 15; číslo 1; s. 1 - 13
Hlavní autori:	He, Xiuli, Zhang, Yang, Hong, Mengna, Li, Jigeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 30.11.2022 Springer Nature B.V Springer
Predmet:	Algorithms Artificial Intelligence Carbon emission Computational Intelligence Control Decision making Efficiency Emissions control Engineering Flour Formulations Glass industry Improved SQP algorithm Industrial production Inventory Materials selection Mathematical Logic and Foundations Mechatronics Mutual coupling Optimization Optimization modeling Optimization models Quadratic programming Raw material Raw materials Research Article Robotics Industrial production Carbon emission Improved SQP algorithm Raw material Optimization modeling Glass industry
ISSN:	1875-6883, 1875-6891, 1875-6883
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Abstract	Raw materials for industrial production mainly come from nature with wide sources and uneven quality, while production requires strictly with the materials’ quality and their quality indicators are very mutual coupling. In actual production, unreasonable combination and formula often exist in the process of raw material selection, impeding the improvement of production efficiency, quality, energy-saving, and emission reduction. Unfortunately, research on this actual issue is currently vacant, so the main object of this paper is to address the selection of raw materials and formulations in actual production. Based on the designed logical combination algorithm and improved SQP algorithm, this study established the batch combination model and formula calculation model from the perspective of optimal combination and formula. Finally, a practical example of actual production is given to demonstrate the utility and application of this research.
AbstractList	Abstract Raw materials for industrial production mainly come from nature with wide sources and uneven quality, while production requires strictly with the materials’ quality and their quality indicators are very mutual coupling. In actual production, unreasonable combination and formula often exist in the process of raw material selection, impeding the improvement of production efficiency, quality, energy-saving, and emission reduction. Unfortunately, research on this actual issue is currently vacant, so the main object of this paper is to address the selection of raw materials and formulations in actual production. Based on the designed logical combination algorithm and improved SQP algorithm, this study established the batch combination model and formula calculation model from the perspective of optimal combination and formula. Finally, a practical example of actual production is given to demonstrate the utility and application of this research. Raw materials for industrial production mainly come from nature with wide sources and uneven quality, while production requires strictly with the materials’ quality and their quality indicators are very mutual coupling. In actual production, unreasonable combination and formula often exist in the process of raw material selection, impeding the improvement of production efficiency, quality, energy-saving, and emission reduction. Unfortunately, research on this actual issue is currently vacant, so the main object of this paper is to address the selection of raw materials and formulations in actual production. Based on the designed logical combination algorithm and improved SQP algorithm, this study established the batch combination model and formula calculation model from the perspective of optimal combination and formula. Finally, a practical example of actual production is given to demonstrate the utility and application of this research.
ArticleNumber	103
Author	Zhang, Yang Hong, Mengna He, Xiuli Li, Jigeng
Author_xml	– sequence: 1 givenname: Xiuli surname: He fullname: He, Xiuli organization: State Key Laboratory of Pulp and Paper Engineering, South China University of Technology – sequence: 2 givenname: Yang surname: Zhang fullname: Zhang, Yang organization: State Key Laboratory of Pulp and Paper Engineering, South China University of Technology – sequence: 3 givenname: Mengna surname: Hong fullname: Hong, Mengna organization: State Key Laboratory of Pulp and Paper Engineering, South China University of Technology – sequence: 4 givenname: Jigeng surname: Li fullname: Li, Jigeng email: jigengli@scut.edu.cn organization: State Key Laboratory of Pulp and Paper Engineering, South China University of Technology
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Snippet	Raw materials for industrial production mainly come from nature with wide sources and uneven quality, while production requires strictly with the materials’... Abstract Raw materials for industrial production mainly come from nature with wide sources and uneven quality, while production requires strictly with the...
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SubjectTerms	Algorithms Artificial Intelligence Carbon emission Computational Intelligence Control Decision making Efficiency Emissions control Engineering Flour Formulations Glass industry Improved SQP algorithm Industrial production Inventory Materials selection Mathematical Logic and Foundations Mechatronics Mutual coupling Optimization Optimization modeling Optimization models Quadratic programming Raw material Raw materials Research Article Robotics
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Title	Optimization Model of Raw Material Selection Process for Complex Industry Based on Improved Sequential Quadratic Programming Algorithm
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