
Artificial Intelligence in Production Engineering and Management
Woodhead Publishing
Published on 4. July 2024
Book
Paperback/Softback
250 pages
978-0-12-819471-3 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 13 mm
Weight
341 gr
ISBN-13
978-0-12-819471-3 (9780128194713)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Carolina Machado | J. Paulo Davim
Artificial Intelligence in Production Engineering and Management
E-Book
07/2024
Woodhead Publishing
€178.00
Available for download
Persons
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. 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 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.
Editor
Associate Professor, Department of Management, School of Economics and Management, University of Minho, Braga, Portugal
Full Professor, Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
Content
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
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