TY - CHAP
T1 - Machine Intelligence for Agile Manufacturing
AU - Sunny Katyara
AU - Luxmi Dhirani, Lubna
AU - Philip Long
AU - F. O'Farell
AU - T Morell
AU - Court Edmondson
AU - Bhawani Shankar Chowdhry
PY - 2024/1/1
Y1 - 2024/1/1
N2 - With the advent of Industry 5.0, new aspects have been coined apart from smart automation and data exchange in Industry 4.0, that entails to maintain societal norms, i.e., sustainability, well-being, and resilience. Developing and deploying solutions that transform existing industries into smart factories requires to employ autonomous robots and digital tools. Besides improving the quality and quantity of the end product produced, it also curtails the cost and time of commercialization at mass customization, especially in the case of agile manufacturing. However, it raises safety and ethical concerns for the workers who are on the verge of direct contact with such emerging technologies. Therefore, designing and developing human-centric adaptive and intelligent solutions that fulfill the needs of manufacturers (i.e., return on investment) and customers (i.e., customized and cost-efficient) is quite challenging. This chapter discusses the realization of Industry 5.0 in agile manufacturing and highlights its practical obligations for socio-intelligent automation using the ACROBA platform.
AB - With the advent of Industry 5.0, new aspects have been coined apart from smart automation and data exchange in Industry 4.0, that entails to maintain societal norms, i.e., sustainability, well-being, and resilience. Developing and deploying solutions that transform existing industries into smart factories requires to employ autonomous robots and digital tools. Besides improving the quality and quantity of the end product produced, it also curtails the cost and time of commercialization at mass customization, especially in the case of agile manufacturing. However, it raises safety and ethical concerns for the workers who are on the verge of direct contact with such emerging technologies. Therefore, designing and developing human-centric adaptive and intelligent solutions that fulfill the needs of manufacturers (i.e., return on investment) and customers (i.e., customized and cost-efficient) is quite challenging. This chapter discusses the realization of Industry 5.0 in agile manufacturing and highlights its practical obligations for socio-intelligent automation using the ACROBA platform.
KW - Additive Manufacturing
KW - AI
KW - IoT
KW - Security
KW - ACROBA
UR - https://www.taylorfrancis.com/books/edit/10.1201/9781003376620/integration-heterogeneous-manufacturing-machinery-cells-systems-wasim-ahmed-khan-khalid-rehman-ghulam-hussain-ghulam-abbas-xiaoping-wang?refId=2369db36-3454-4dc2-9ed1-3219fbead755&context=ubx
U2 - 10.1201/9781003376620-19
DO - 10.1201/9781003376620-19
M3 - Chapter
SP - 199
EP - 215
BT - Machine Intelligence for Agile Manufacturing
PB - Taylor and Francis-CRC Press
ER -