M. Sierra-Paradinas, Ó. Sóto-Sánchez, A. Alonso-Ayuso, F. J. Martin-Campo, M. Gallego

From an economic point of view, the steel industry plays an important role and, when it comes to responding to new challenges, innovation is a crucial factor. This paper proposes a mathematical methodology to solve the slitting problem in a steel company located in Europe. A major challenge here is defining a slitting plan to fulfil all the requirements of the customers, as well as ongoing operational constraints and customer demands. The company looks for a reduction of the leftovers generated in the process, while maximising the overall accuracy of the orders. These leftovers may be used in the future if they are able to respond to specific requirements, or otherwise they are considered as scrap. This paper introduces a novel mixed integer linear optimisation model to respond to a specific slitting problem. The model is validated with real data and it outperforms the results obtained by the company: by adjusting the orders that are to be served, by reducing the amount of scrap and by using the retails for future orders. Furthermore, the model is solved in only a few minutes, while the company needs several hours to prepare the scheduling in the current operating process.

Keywords: Cutting, Steel industry, Mixed integer linear optimisation


FB3 Cutting and Packing
June 11, 2021  10:45 AM
3 - TC Koopmans

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