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"Industry 4.0 will disrupt and change how we produce, do business, and live our lives. Related to manufacturing, the way products are produced will change radically not only within a company but also across companies. So, like any other revolution, the fourth industrial revolution will also produce winners and losers. Occupations, companies, and industries will die whereas new ones will emerge. So, companies need to adapt properly to those new technologies in order not to be pushed out of business. This book makes a contribution to understand the developments related to Industry 4.0. Experienced and well-established authors came together to shed light on different but complementary topics to offer a holistic view on Industry 4.0. Here, the Industry 4.0 ecosystem, implications of Industry 4.0 on human workforce, technical challenges and application examples are addressed"--
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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.
Metals. --- Industrial engineering. --- Production engineering. --- Materials. --- Building materials. --- Metals and Alloys. --- Industrial and Production Engineering. --- Materials Engineering. --- Steel, Light Metal.
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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.
Methodology of economics --- Materials sciences --- Applied physical engineering --- Engineering sciences. Technology --- Production management --- Business management --- Business economics --- Metallurgy --- Building materials. Building technology --- materiaalkennis --- financieel management --- productie --- ingenieurswetenschappen --- bouwmaterialen --- metalen --- Industry 4.0. --- Steel industry and trade.
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