TY - GEN
T1 - Service architecture and evaluation model of distributed 3D printing based on cloud manufacturing
AU - Wu, Yinan
AU - Peng, Gongzhuang
AU - Chen, Lu
AU - Zhang, Heming
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/6
Y1 - 2017/2/6
N2 - 3D printing is a kind of important method in the field of rapid prototyping and customized production. In order to achieve the purpose of production integration and product customization of 3D printing, this paper propose a 3D printing cloud integrated platform architecture based on cloud manufacturing. Moreover, how to evaluate and select the services of different distributed 3D printing terminals in cloud platform also requires further in-depth study. To address this issue, a service evaluation model of distributed 3D printing based on cloud manufacturing is designed and proposed in this paper. This model can be used to characterization the evaluation information of each dimension by fuzzy theory, and the evaluation results of the service can be accurately quantified by fuzzy number operation. The illustrative example show that the model and the evaluation method can effectively quantify the service quality, improve the quality and accuracy of services selection.
AB - 3D printing is a kind of important method in the field of rapid prototyping and customized production. In order to achieve the purpose of production integration and product customization of 3D printing, this paper propose a 3D printing cloud integrated platform architecture based on cloud manufacturing. Moreover, how to evaluate and select the services of different distributed 3D printing terminals in cloud platform also requires further in-depth study. To address this issue, a service evaluation model of distributed 3D printing based on cloud manufacturing is designed and proposed in this paper. This model can be used to characterization the evaluation information of each dimension by fuzzy theory, and the evaluation results of the service can be accurately quantified by fuzzy number operation. The illustrative example show that the model and the evaluation method can effectively quantify the service quality, improve the quality and accuracy of services selection.
KW - 3D printing
KW - Cloud manufacturing
KW - Fuzzy theory
KW - Multi-criteria decision making
KW - Service evaluation model
UR - https://www.scopus.com/pages/publications/85015719796
U2 - 10.1109/SMC.2016.7844657
DO - 10.1109/SMC.2016.7844657
M3 - 会议稿件
AN - SCOPUS:85015719796
T3 - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
SP - 2762
EP - 2767
BT - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
Y2 - 9 October 2016 through 12 October 2016
ER -