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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| 其他作者: | , , , , |
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| 格式: | Capítulo de libro |
| 語言: | spa |
| 出版: |
Springer
2023
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| 主題: | |
| 在線閱讀: | 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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| 總結: | 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. |
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