TY - GEN
T1 - Process planning service model design for cloud manufacturing
AU - Wang, Jing
AU - Qiao, Lihong
AU - Qie, Yifan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Aiming at the problem of complex parts machining process division and optimization, combined with the utility rules, process division and optimization constraints of current machine and cutting tools, the process planning service model for cloud manufacturing is proposed according to the idea of 'manufacturing as a service' in this paper. The model, based on cloud computing SaaS (software-as-a-service) service model and hybrid cloud deployment model, takes the principle of service-oriented, personalization and flexibility into account. Cloud-platform-based process service scene is designed, meanwhile the framework of information model for cloud process planning system is constructed. Resources such as process planning software, manufacturing workshop and process knowledge are encapsulated into cloud services, achieving the information integration of workshop resource service, cloud platform with machining process planning service. Finally, multi-users and multi-tasks parallel machining process planning and dynamic machining resources decision-making are realized.
AB - Aiming at the problem of complex parts machining process division and optimization, combined with the utility rules, process division and optimization constraints of current machine and cutting tools, the process planning service model for cloud manufacturing is proposed according to the idea of 'manufacturing as a service' in this paper. The model, based on cloud computing SaaS (software-as-a-service) service model and hybrid cloud deployment model, takes the principle of service-oriented, personalization and flexibility into account. Cloud-platform-based process service scene is designed, meanwhile the framework of information model for cloud process planning system is constructed. Resources such as process planning software, manufacturing workshop and process knowledge are encapsulated into cloud services, achieving the information integration of workshop resource service, cloud platform with machining process planning service. Finally, multi-users and multi-tasks parallel machining process planning and dynamic machining resources decision-making are realized.
UR - https://www.scopus.com/pages/publications/85044950610
U2 - 10.1109/COASE.2017.8256261
DO - 10.1109/COASE.2017.8256261
M3 - Conference contribution
AN - SCOPUS:85044950610
T3 - IEEE International Conference on Automation Science and Engineering
SP - 1169
EP - 1173
BT - 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
PB - IEEE Computer Society
T2 - 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Y2 - 20 August 2017 through 23 August 2017
ER -