Artificial Intelligence in Production Engineering and Management

Erscheinungsjahr 2024
ISBN: 978-0-12-819471-3
Verlag: William Andrew Publishing

Buch, Englisch, Format (B × H): 152 mm x 229 mm, Gewicht: 1000 g

Artificial intelligence (AI) plays a crucial role in production engineering and management, revolutionizing operation optimization, data analysis, forecasting, and task automation. In production engineering, AI contributes to operational efficiency by identifying patterns, predicting failures, and optimizing supply chains. In management, it offers predictive and prescriptive insights, allowing quick adaptations to changes in market conditions. However, it is essential to address ethical challenges, such as data security and workforce impacts, to ensure responsible and sustainable implementation of AI in these contexts.
Among the different topics covered in Artificial Intelligence in Production Engineering and Management, the reader can find: living in the age of AI; machine learning and large language models; AI and people management; nudging financial behavior with AI; the European Union narrative on AI; multidimensional transhuman influence; and AI, emotional intelligence, and ethics. This topical book will be of great value for those working and researching in the production engineering and management fields who are seeking to understand and capitalize on the revolutionary shift that artificial intelligence brings to modern engineering and management.

Autoren/Hrsg.

Machado, Carolina

Davim, J. Paulo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1. Living under artificial intelligence: advancement or fate? 2. Using machine learning and large language models to improve the product development process 3. Artificial Intelligence and people management in the 21st century 4. Benefits and drawbacks of artificial intelligence in human resource management: Between utopian and dystopian visions 5. A challenge for the implementation of artificial intelligence in rural areas. Digital coverage and performance of intellectual capital of firms 6. Nudging Financial Behavior in the Age of Artificial Intelligence 7. The European Union Narrative on Artificial Intelligence: The Path to International Leadership 8. Back to the future. Multidimensional transhuman influence on creativity and innovation 9. Artificial intelligence, yes! But what about the human side? - The relevance of emotional intelligence and ethics

Über Autor(innen)

Machado, Carolina
Carolina Machado is an Associate Professor with Habilitation at the University of Minho, Portugal. She has lectured and researched in human resource management subjects since 1989. She is Head of the Human Resource Management Work Group at the University of Minho, as well as Coordinator of Advanced Training Courses at the Interdisciplinary Centre of Social Sciences, and Member of CICS.NOVA.UMinho.

Davim, J. Paulo
Prof. (Dr.) J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal, with over 35 years of experience in Mechanical, Materials, and Industrial Engineering. He holds multiple distinguished academic titles, including a PhD in Mechanical Engineering and a DSc from London Metropolitan University. He has published over 300 books and 600 articles, with an h-index of 99+ on Google Scholar and more than 36,500 citations. He is ranked among the world's top 2% scientists by Stanford University and holds leadership positions in numerous international journals, conferences, and research projects.