Intelligent manufacturing systems should have the capabilities of flexibility, adaptability, and intelligence.
With their practical introduction by the 1970s, virtual product data have emerged to a primary technical source of intelligence in manufacturing.
New-generation intelligent manufacturing represents an in-depth integration of new-generation artificial intelligence (AI) technology and advanced manufacturing technology.
Various applications of artificial intelligence techniques on manufacturing systems problems, particularly those related to artificial neural networks, are also reviewed.
The potential benefits of manufacturing intelligence include improvements in operational efficiency, process innovation, and environmental impact, to name a few [4, 5].
Finally an integrated approach is contributed which leverages artificial intelligence to support manufacturing system design decision making whilst considering business and product evolutionary aspects.
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The term smart manufacturing refers to a future-state of manufacturing, where the real-time transmission and analysis of data from across the factory creates manufacturing intelligence, which can be used to have a positive impact across all aspects of operations.
Industrial cyber-physical systems are the primary enabling technology for Industry 4.0, which refers to an emerging data-driven paradigm focused on the creation of manufacturing intelligence using real-time pervasive networks and operational data streams.
Focus on what he brings to the table in terms of talent and intelligence instead of manufacturing negativity.
