IJAT Vol.9 No.3 pp. 235-247
doi: 10.20965/ijat.2015.p0235


A Novel Algorithm for Continuous Steel Casting Scheduling with Focus on Quality Property Constraint and Slab Width Maximization

Taiki Ogata*1,*2, Tsuyoshi Okubo*3, Hidetoshi Nagai*3, Masashi Yamamoto*3, Masao Sugi*4, and Jun Ota*1

*1Reseaerch into Artifacts, Center for Engineering, The University of Tokyo
5-1-5 Kakinoha, Kashiwa, Chiba

*2Tokyo Institute of Technology, Kanagawa, Japan

*3NS Solutions Corporation, Kanagawa, Japan

*4The University of Electro-Communications, Tokyo, Japan

December 2, 2014
February 25, 2015
May 5, 2015
scheduling, casting scheduling problem, simulated annealing, shortest path problem
This paper proposes a solution for casting scheduling, an important process in steel manufacturing. A constraint due to secular changes in quality properties, including slab property degradation in casting, and problems with evaluation indices for slab casting width for the improvement of productivity, are taken into account in the study. These factors have not been focused on in previous studies. In this study, the casting scheduling problem is divided into two. One problem involves determining a schedule frame for each slab, and the other is the problem of determining the slab width. To be more specific, after an initial solution for slab order is reached based on heuristics with the quality property constraint taken into account, a hierarchical solving method of determining the slab width is employed in accordance with the shortest path problem-solving method, and obtained solutions are improved using a simulated annealing technique. The simulation is performed with the data created from actual operation data and an initial solution that satisfies the constraint is derived. An improved solution is then obtained using the solution search technique.
Cite this article as:
T. Ogata, T. Okubo, H. Nagai, M. Yamamoto, M. Sugi, and J. Ota, “A Novel Algorithm for Continuous Steel Casting Scheduling with Focus on Quality Property Constraint and Slab Width Maximization,” Int. J. Automation Technol., Vol.9 No.3, pp. 235-247, 2015.
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