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

被引:0
|
作者
Xiuli He
Yang Zhang
Mengna Hong
Jigeng Li
机构
[1] South China University of Technology,State Key Laboratory of Pulp and Paper Engineering
来源
International Journal of Computational Intelligence Systems | / 15卷
关键词
Industrial production; Raw material; Optimization modeling; Improved SQP algorithm; Glass industry; Carbon emission;
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中图分类号
学科分类号
摘要
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.
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