Português Validation of industry 4.0 technologies in logistics operations at a steel plant through computational simulation

• Autor(a) principal: Toledo Hernandez, Cecília
• Data de Publicação: 2024
• Outros Autores: Bianchini Silva, Paulo Vitor, Da Silva Christo, Eliane, Alonso Costa, Kelly, Rios de Paula, Marília
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista de Administração, Sociedade e Inovação
• Texto Completo: https://www.rasi.vr.uff.br/index.php/rasi/article/view/882
• topic: Logística; Indústria 4.0; Simulação; Logística; Indústria 4.0; Simulação; Português

The steel production generates residues, one of which is blast furnace slag, primarily used in cement manufacturing. The movement of blast furnace slag involves a complex road logistics system, using trucks or dump trailers. Industry 4.0 has enabled various solutions across different sectors, including logistics, allowing for operational and economic gains. This article aims to showcase the benefits achieved through evaluating Industry 4.0 solutions in the operation and transportation of blast furnace slag within a steel plant. Computational simulation was employed to establish scenarios and test different models. Data collection was conducted through questionnaires, observations, and document analyses. Four different scenarios were tested, alternating between current production and maximum production, with or without the use of Industry 4.0 solution tools, to optimize resource allocation. As a result, three Industry 4.0 technology solutions were identified, one of which was tested with two of its tools across four different scenarios. These simulated scenarios demonstrated economic gains ranging from 15 to 30% when adopting Industry 4.0 solutions. These gains also manifest in increased resource availability and reduced cycle time for operations. The developed and validated computational simulation model can be replicated in other situations and adapted for other logistics cases, considering relevant changes and their underlying assumptions.