Machado / Davim Artificial Intelligence in Production Engineering and Management

1. Auflage 2024
ISBN: 978-0-12-819616-8
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 250 Seiten

Reihe: Woodhead Publishing Reviews: Mechanical Engineering Series

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. - 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

Autoren/Hrsg.

Machado, Carolina

Davim, J. Paulo