Articoli correlati a Artificial Intelligence in Production Engineering and...

Artificial Intelligence in Production Engineering and Management - Brossura

 
9780128194713: Artificial Intelligence in Production Engineering and Management
Brossura
ISBN 10: 0128194715 ISBN 13: 9780128194713
Casa editrice: Woodhead Publishing, 2024

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sugli autori

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.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Woodhead Publishing
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
0128194715
ISBN 13 
9780128194713
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
250
Redattore
Machado
Contatto del produttore
ELSEVIER
https://www.elsevier.com/es-es

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