Steel 4.0 Digitalization in Steel Industry /
This book addresses digitalization and the steel industry. It is written from the perspective of both industrial engineering and data science and discusses digitalization problems, novel production planning and scheduling algorithms in ironmaking and steelmaking, machine learning applications and op...
Збережено в:
| Співавтор: | |
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| Інші автори: | , , |
| Формат: | Електронний ресурс eКнига |
| Мова: | Англійська |
| Опубліковано: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
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| Редагування: | 1st ed. 2024. |
| Серія: | Engineering Materials,
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| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/978-3-031-57468-9 |
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Зміст:
- Introduction
- Planning and Scheduling of Electric Arc Furnace based Steelmaking
- Systematic review of steel surface defect detection methods on the open access datasets of Severstal and the Northeastern University (NEU)
- Decision Support Systems for Steel Production Planning – State of the Art and Open Questions
- Volatility and Synchronization in Steel Manufacturing – A Simulation Study of a Modern Steel Mill
- A Comparison of Crossover Operators in Genetic Algorithms for Steel Domain
- Comparative Study of Two Genetic Algorithms for Steel Production Planning under Different Order Backlog Circumstances
- Effect of PolyLoss function on Steel defect detection
- Novel genetic algorithm for simultaneous scheduling of two distinct steel production lines.