TY - GEN
T1 - Towards Cognitive Intelligence-Enabled Manufacturing
AU - Agbozo, Reuben Seyram Komla
AU - Zheng, Pai
AU - Peng, Tao
AU - Tang, Renzhong
N1 - Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.
PY - 2022/9
Y1 - 2022/9
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Cognitive intelligence
KW - Manufacturing
KW - Self-X cognition
KW - Smart decision making
UR - http://www.scopus.com/inward/record.url?scp=85138808613&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-16411-8_50
DO - 10.1007/978-3-031-16411-8_50
M3 - Conference article published in proceeding or book
AN - SCOPUS:85138808613
SN - 9783031164101
VL - 664
T3 - IFIP Advances in Information and Communication Technology
SP - 434
EP - 441
BT - Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action
A2 - Kim, Duck Young
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer Cham
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2022
Y2 - 25 September 2022 through 29 September 2022
ER -