Abstract
The objectives of the destination options generation of the semi-products batches coming from the continuous casting installations for the production of finished steel profiles in lamination workshops are close to the minimum of the excess of mechanical properties respecting its normed values in the steel industry. The estimation of mechanical properties of the batches starting from its chemical composition and traverse surface of the billets and finished profiles is done by radial based neural networks, starting from the available mechanical properties data obtained from the quality control of the workshops. The systemic analysis of the production function in steel factories allows to formulate the conceptual optimization model, that breaks down in sub-models of the batches destination options generation, as a discrete stochastic optimization and the selection of the batches to be to satisfy the sales demand sub-tasks. Solutions outlines of the generation and selection stages are also presented.
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References
Tang, L., Liu, J., Rong, A., Yang, Z.: A review of planning and scheduling systems and methods for integrated steel production. Euro. J. Oper. Res. l33(1), l–20 (200l)
Harjunkoski, I., Grossmann, I.E.: A decomposition approach for the scheduling of a steel plant production. Comput. Chem. Eng. 25(11), 1647–1660 (2001)
Zhang, Y. and Tang, L.: Production scheduling with power price coordination in steel industry. In: Power and Energy Engineering Conference (APPEEC), pp. 28–31 (2010)
Mao, K., Pan, Q.-K., Pang, X.F., Chai, T.Y.: A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process. Eur. J. Oper. Res. 236(1), 51–60 (2014)
Pan, Q.-K.: An effective co-evolutionary artificial bee colony algorithm for steelmaking-continuous casting scheduling. Eur. J. Oper. Res. 250(3), 702–714 (2016)
Jia, S., Zhu, J., Yang, G., Yi, J., Du, B.: A decomposition-based hierarchical optimization algorithm for hot rolling batch scheduling problem. Int. J. Adv. Manuf. Technol. 61, 487–501 (2012)
Arzola-Ruiz, J.: Selection of Proposals. Científico-Técnica Publishing House, Havana (1989)
Tang, L., Liu, G.: A mathematical programming model and solution for scheduling production orders in Shanghai Baoshan Iron and Steel Complex. Eur. J. Oper. Res. 182, 1453–1468 (2007)
Zhang, T., Zhang, Y., Panos, M.: A hybrid particle swarm optimization and tabu search algorithm for order planning problems on steel factories based on the make-to-stoke and make-to-order management architecture. J. Ind. Manage. Optim. 7(1), 31–51 ( 2011)
Arzola-Ruiz, J.: Sistemas de Ingeniería, 2nd edn. Felix Varela Publishing House, Havana (2012)
Zambrano-Ortiz, D.J., Arzola-Ruiz, J., Litardo-Velásque, R.M.: Generación y selección óptima de opciones de destino de hornadas en fábricas siderúrgicas. Ingeniería Mecánica, 102, 3, La Habana (2020)
Ashby, M.F.: Materials Selection in Mechanical Design. 4th ed. USA: Elsevier, 646 pp. 230–245 (2011)
Ashby, F.M., Shercliff, H., Cebon, D.: Materials: Engineering, Science, Processing and Design. Second Editions. Butterworth-Heinemann, Elsevier 13 (2010)
Bin, W.: CAD Interaction with CAPP. Manufacturing Systems Design and Analysis, 2nd edition. Ed. Chapman & Hall, Brunel University, Uxbridge (2017)
Jiménez-Sánchez, D., Arzola-Ruiz, J.: Regularized neural networks applied to the estimation of the mechanical properties of steel profiles. Ingeniería Mecánica. 20(3), 115–121 (2017)
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Zambrano-Ortiz, DJ., Arzola-Ruiz, J., Litardo-Velásquez, RM., Ashger, U. (2021). Human-Computer Interaction (HCI) Approach for the Optimal Generation and Selection of Batches Destination Options in Steel Making Factories. In: Ayaz, H., Asgher, U., Paletta, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-80285-1_45
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DOI: https://doi.org/10.1007/978-3-030-80285-1_45
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