Shigemasa Nakagawa

Workload Balance Optimization of Two Reverse Mills for Steel Plate Rolling

This paper proposes a new method to improve productivity of plate rolling. Two reverse plate mill balance optimization problem is formulated in this paper. Some typical optimization methods are tried to be applied for the problem. A new method based on branch and bound method is proposed. They are compared by simulations from the viewpoint of calculation time and optimization performance. Superiority of the proposed method is confirmed with online test.

Quality improvement of steel products by using multivariate data analysis

This paper describes quality improvement methods based on multivariate data analysis and their application to an industrial steel process. The PCA-LDA, which combines principal component analysis and linear discriminant analysis, is used for influential factor analysis of the qualitative quality variables. In addition, Data-Driven Quality Improvement (DDQI) is used to determine the optimal operating condition that can achieve the desired product quality under a given objective function and various constraints. The PCA-LDA and the DDQI can provide useful information to improve product quality. The experimental results show the effectiveness of the proposed methods.