The Technological Role of Steepest Ascent Optimization in Industry 4.0 Modeling

Industry 4.0 has taken extraordinary importance in massive production strategies. This new revolution represents automation in factories and interconnectivity among devices and procedures. In a technological framework, when managing large amounts of data combined with in-depth statistical analysis a...

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Đã lưu trong:
Chi tiết về thư mục
Tác giả khác: García Nava, Paulo Eduardo, Rodriguez Picon, Luis Alberto, Méndez-González, Luis Carlos, Perez Olguin, Ivan Juan Carlos, Romero Lopez, Roberto
Định dạng: Capítulo de libro
Ngôn ngữ:spa
Được phát hành: Springer 2023
Những chủ đề:
Truy cập trực tuyến:https://doi.org/10.1007/978-3-031-29775-5_7
https://link.springer.com/chapter/10.1007/978-3-031-29775-5_7
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Miêu tả
Tóm tắt:Industry 4.0 has taken extraordinary importance in massive production strategies. This new revolution represents automation in factories and interconnectivity among devices and procedures. In a technological framework, when managing large amounts of data combined with in-depth statistical analysis as a convenient tool for decision-making, Industry 4.0 modeling constitutes an indispensable support. This chapter has the objective to present, in a comprehensive way, the role of statistical analysis in a steepest ascent innovative strategy for the Industry 4.0 modeling based on released information from a production system. The method analyzes the route that data follows from a production system to a computer software for statistical analysis. This includes empirical techniques such as designed experimentation. After this procedure, human intervention exists only for consecutive analysis and decision-making purposes. Results and conclusions are disclosed at the end of this document.