Abstract
Cognitive intelligence-enabled manufacturing (CoIM) uses machines to utilize technologies that mimic human cognitive abilities to solve complex problems in manufacturing. With the support of a cognitive intelligence-enabled manufacturing system (CoIMS) architecture, information flow is organized and coordinated appropriately, starting from the machine sensory system, central system to the motor system. Machine perceptive abilities monitor, sense and capture equipment performance, aggregate data, and help gain valuable insights into the production process. It uses the industrial internet of things, data analytics, artificial intelligence and related techniques and cognitive computing and related technologies to address production issues in an autonomous manner. As such, CoIMS solves complex production problems. It also transforms manufacturing by improving product quality, productivity, and safety, reducing costs and downtimes, identifying knowledge gaps, and enhancing customer experience. Even so, a CoIMS is not responsible for making the final decision. Instead, it supplements information on the fly for engineers to take necessary actions.
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Agbozo, R.S.K., Zheng, P., Peng, T., Tang, R. (2022). Towards Cognitive Intelligence-Enabled Manufacturing. In: Kim, D.Y., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, vol 664. Springer, Cham. https://doi.org/10.1007/978-3-031-16411-8_50
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