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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Human-Computer Interaction (HCI) Approach for the Optimal Generation and Selection of Batches Destination Options in Steel Making Factories
verfasst von : Denis-Joaquín Zambrano-Ortiz, José Arzola-Ruiz, Rosa-Mariuxi Litardo-Velásquez, Umer Ashger
Erschienen in: Advances in Neuroergonomics and Cognitive Engineering
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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.