TY - GEN
T1 - Matching and selection of distributed 3D printing services in cloud manufacturing
AU - Zhou, Longfei
AU - Zhang, Lin
AU - Ren, Lei
AU - Laili, Yuanjun
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/15
Y1 - 2017/12/15
N2 - The problem of task allocation and service selection in the complex dynamic cloud manufacturing (CMfg) environment is complex for different types of manufacturing resources. With the rapid development of 3D printing technology, the supply-demand matching problem of 3D printing tasks and services in CMfg needs to be modelled specifically. In this paper, the service attributes of 3D printing services are analyzed, including model size, printing material, printing preciseness, cost, time and logistics. The service transaction model of 3D printing services is built. To reduce delivery time of tasks from service suppliers to service demanders, a 3D printing service matching and selection method (MST) is proposed to generate the optimal solutions. Experimental results show that the average task completion time with MST is less than that of the typical method when the amounts of tasks change. Besides, MST can balance the task assignment among different service providers.
AB - The problem of task allocation and service selection in the complex dynamic cloud manufacturing (CMfg) environment is complex for different types of manufacturing resources. With the rapid development of 3D printing technology, the supply-demand matching problem of 3D printing tasks and services in CMfg needs to be modelled specifically. In this paper, the service attributes of 3D printing services are analyzed, including model size, printing material, printing preciseness, cost, time and logistics. The service transaction model of 3D printing services is built. To reduce delivery time of tasks from service suppliers to service demanders, a 3D printing service matching and selection method (MST) is proposed to generate the optimal solutions. Experimental results show that the average task completion time with MST is less than that of the typical method when the amounts of tasks change. Besides, MST can balance the task assignment among different service providers.
KW - 3D printing
KW - cloud manufacturing
KW - service matching
KW - service selection
UR - https://www.scopus.com/pages/publications/85046644958
U2 - 10.1109/IECON.2017.8216815
DO - 10.1109/IECON.2017.8216815
M3 - 会议稿件
AN - SCOPUS:85046644958
T3 - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
SP - 4728
EP - 4733
BT - Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Y2 - 29 October 2017 through 1 November 2017
ER -