OPTIMIZING INDUSTRIAL DATA ANALYSIS: THE CONVERGENCE OF BUSINESS INTELLIGENCE AND DYNAMIC SIMULATIONS IN CHEMICAL PROCESS MANAGEMENT.

MLA

Silva Costa, Hiego Cândido, et al. “Optimizing Industrial Data Analysis: The Convergence of Business Intelligence and Dynamic Simulations in Chemical Process Management.” Environmental & Social Management Journal / Revista de Gestão Social e Ambiental, vol. 18, no. 3, Mar. 2024, pp. 1–15. EBSCOhost, https://doi.org/10.24857/rgsa.v18n3-025.

APA

Silva Costa, H. C., de Lima Carneiro, F. L., Leite Araújo Pereira, J. R., Araújo Pereira, M., Pereria Neto, A. T., & da Silva Júnior, H. B. (2024). Optimizing Industrial Data Analysis: The Convergence of Business Intelligence and Dynamic Simulations in Chemical Process Management. Environmental & Social Management Journal / Revista de Gestão Social e Ambiental, 18(3), 1–15. https://doi.org/10.24857/rgsa.v18n3-025

Chicago

Silva Costa, Hiego Cândido, Francisco Lucas de Lima Carneiro, Juliana Rosa Leite Araújo Pereira, Micael Araújo Pereira, Antonio Tavernard Pereria Neto, and Heleno Bispo da Silva Júnior. 2024. “Optimizing Industrial Data Analysis: The Convergence of Business Intelligence and Dynamic Simulations in Chemical Process Management.” Environmental & Social Management Journal / Revista de Gestão Social e Ambiental 18 (3): 1–15. doi:10.24857/rgsa.v18n3-025.