TY  - BOOK
AU  - Uygun,Yilmaz
AU  - Özgür,Atilla
AU  - Hütt,Marc-Thorsten
ED  - SpringerLink (Online service)
TI  - Steel 4.0: Digitalization in Steel Industry 
T2  - Engineering Materials,
SN  - 9783031574689
AV  - TA459-492 
PY  - 2024///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Metals
KW  - Industrial engineering
KW  - Production engineering
KW  - Materials
KW  - Building materials
KW  - Metals and Alloys
KW  - Industrial and Production Engineering
KW  - Materials Engineering
KW  - Steel, Light Metal
N1  - 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
N2  - 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 opportunities in steel plants and quality-related algorithms in steel plants. Even though digitalization is an important trend in steel industry, current contributions mainly focus on lower automation levels, i.e., field and control levels, that are mainly covered in mechanical, electrical and material engineering domains. On higher planning levels, there are hardly comprehensive scientific contributions on intelligent digitalization issues available. This book fills this gap
UR  - https://doi.org/10.1007/978-3-031-57468-9
ER  -