Intelligent Manufacturing Systems : Digitalization of Industrial Production

Intelligent Manufacturing Systems: Digitalization of Industrial Production

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Intelligent Manufacturing Systems: Digitalization of Industrial Production

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Intelligent Manufacturing Systems : Digitalization of Industrial Production

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Intelligent Manufacturing Systems: Digitalization of Industrial Production

Overall Rating: 2.3 / 5 (average from multiple review sources, as of 23 Jun 2026)
Based on a total of 48,964 customer reviews from independent review platforms.

Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.

All brand names and logos are the property of their respective owners.

Notice:
pricehunter.co.uk cannot guarantee that published shop ratings originate from consumers who have actually made a purchase from the reviewed retailer.
This title will be released on October 30, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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Intelligent Manufacturing Systems : Digitalization of Industrial Production

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This book offers an in-depth exploration of the evolution, implementation, and impact of modern technologies in manufacturing.The book provides a comprehensive analysis of Cyber-Physical Systems (CPSs), the Internet of Things (IoT), Cloud computing, Artificial Intelligence (AI), and Big Data analytics, demonstrating their role in optimizing design, production, and management processes.With detailed case studies, structured literature reviews, and real-world applications, this guide is an essential resource for scholars, researchers, and professionals aiming to understand and leverage the advancements in Intelligent Manufacturing Systems. Key FeaturesOverview of digital twin technology, enabling virtual replication of physical assets for simulation, analysis, and optimization. Examination of IoT's role in connecting devices and sensors to enhance data collection, monitoring, and decision-making processes. Analysis of AI and ML applications in predictive maintenance, quality control, and
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