TY - CHAP
T1 - Digital Manufacturing Systems
AU - Cheung, Chi Fai
AU - Lee, Ka Man
AU - Zheng, Pai
AU - Lee, Wing Bun
N1 - Funding Information:
The authors would like to express their sincere thanks to the Research Committee of The Hong Kong Polytechnic University (project code: G-UABL, ZDAR, ZM31). See also 89 and Chs. 17, 28, 40, 45 and 63
Publisher Copyright:
© 2023, Springer Nature Switzerland AG.
PY - 2023/6/17
Y1 - 2023/6/17
N2 - Advances in the Internet, communication technologies, and computation power have accelerated the cycle of new product development as well as supply chain efficiency in an unprecedented manner. Digital technology provides not only an important means for the optimization of production efficiency through simulations prior to the start of actual operations but also facilitates manufacturing process automation through efficient and effective automatic tracking of production data from the flow of materials, finished goods, and people to the movement of equipment and assets in the value chain. There are two major applications of digital technology in manufacturing. The first deals with the modeling, simulation, and visualization of manufacturing systems, and the second deals with the automatic “acquisition, retrieval, and processing of manufacturing data used in the supply chain.” This chapter summarizes the state of the art of digital manufacturing which is based on virtual manufacturing (VM) systems, smart manufacturing (SM) systems, and industrial Internet of Things (IIoT). The associated technologies, their key techniques, and current research work are highlighted. In addition, the social and technological obstacles in the development of a VM system and SM system and an IIoT-based manufacturing process automation system and some practical application case studies of digital manufacturing are also discussed.
AB - Advances in the Internet, communication technologies, and computation power have accelerated the cycle of new product development as well as supply chain efficiency in an unprecedented manner. Digital technology provides not only an important means for the optimization of production efficiency through simulations prior to the start of actual operations but also facilitates manufacturing process automation through efficient and effective automatic tracking of production data from the flow of materials, finished goods, and people to the movement of equipment and assets in the value chain. There are two major applications of digital technology in manufacturing. The first deals with the modeling, simulation, and visualization of manufacturing systems, and the second deals with the automatic “acquisition, retrieval, and processing of manufacturing data used in the supply chain.” This chapter summarizes the state of the art of digital manufacturing which is based on virtual manufacturing (VM) systems, smart manufacturing (SM) systems, and industrial Internet of Things (IIoT). The associated technologies, their key techniques, and current research work are highlighted. In addition, the social and technological obstacles in the development of a VM system and SM system and an IIoT-based manufacturing process automation system and some practical application case studies of digital manufacturing are also discussed.
KW - Digital manufacturing
KW - Radio frequency identification (RFID)
KW - Smart manufacturing
KW - Virtual manufacturing
KW - Industrial Internet of Things (IIoT) automation
KW - Industry 4.0
UR - http://www.scopus.com/inward/record.url?scp=85163012353&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-96729-1_36
DO - 10.1007/978-3-030-96729-1_36
M3 - Chapter in an edited book (as author)
AN - SCOPUS:85163012353
SN - 978-3-030-96728-4
T3 - Springer Handbooks
SP - 805
EP - 827
BT - Springer Handbooks
PB - Springer Science and Business Media Deutschland GmbH
ER -