From Intelligence Science to Intelligent Manufacturing

The aim of intelligent manufacturing is to establish flexible and adaptive manufacturing operations locally or globally by using integrated information technology (IT) and artificial intelligence (AI) that can combine advanced computing power with manufacturing equipment. Intelligent manufacturing depends on the timely acquisition, distribution, and utilization of real-time data from both machines and processes on manufacturing shop floors [1] and even across product life-cycles. Effective information sharing can improve production quality, reliability, resource efficiency, and the recyclability of end-of-life products. Intelligent manufacturing built on digitalization is also intended to be more sustainable and to contribute to the factories of the future. However, intelligent manufacturing depends extensively on AI. To better grasp the future of intelligent manufacturing, it is necessary to understand AI. This paper provides the author’s perspective on AI from intelligence science to intelligent manufacturing.

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