Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/construction-mecanique/artificial-intelligence-in-production-engineering-and-management/descriptif_5113188
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=5113188

Artificial Intelligence in Production Engineering and Management Woodhead Publishing Reviews: Mechanical Engineering Series

Langue : Anglais

Coordonnateurs : Machado Carolina, Davim J. Paulo

Couverture de l’ouvrage Artificial Intelligence in Production Engineering and Management
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.

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

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.
J. Paulo Davim is Full Professor in the Department of Mechanical Engineering of the University of Aveiro, Portugal. He has more than 30 years of teaching and research experience in manufacturing, materials, and mechanical and industrial engineering, with special emphasis in machining and tribology. He has also an interest in management, engineering education, and higher education for sustainability.
  • Combines research in AI from the fields of production engineering and management to provide effective solutions to problems with interdisciplinary relevance
  • Offers a comprehensive view of the possibilities that artificial intelligence brings to production engineering and management
  • Inspires reflection, innovation, and a renewed appreciation for the ability of technology to redefine, improve, and transform the foundations of production engineering and management