TY - GEN
T1 - Research on manufacturing resources optimal allocation strategy of 3d printing cloud service platform
AU - Cheng, Fangmin
AU - Yu, Suihuai
AU - Chu, Jianjie
AU - Fan, Jiashuang
N1 - Publisher Copyright:
© 2018 Chinese Automation and Computing Society in the UK - CACSUK.
PY - 2018/9
Y1 - 2018/9
N2 - In order to realize the optimal allocation of collaborative manufacturing resources for 3D printing cloud service platform, a solution for manufacturing resource optimization bi-level programming is proposed. Based on the analysis of the process of 3D printing innovation manufacturing tasks and the characteristics of 3D printing manufacturing methods, considering the interests of customers and the interests of the enterprise comprehensively, the company's manufacturing capabilities are used to reflect the interests of customers, and formulas for formulating the manufacturing capabilities of enterprises and the economic benefits of enterprises are proposed and constructed. The manufacturing resources are optimized for a bi-level planning model. The simulated anneal arithmetic is used to solve the optimal model. Taking an model car manufacturing task on the platform as an example, the feasibility and effectiveness of the method are verified.
AB - In order to realize the optimal allocation of collaborative manufacturing resources for 3D printing cloud service platform, a solution for manufacturing resource optimization bi-level programming is proposed. Based on the analysis of the process of 3D printing innovation manufacturing tasks and the characteristics of 3D printing manufacturing methods, considering the interests of customers and the interests of the enterprise comprehensively, the company's manufacturing capabilities are used to reflect the interests of customers, and formulas for formulating the manufacturing capabilities of enterprises and the economic benefits of enterprises are proposed and constructed. The manufacturing resources are optimized for a bi-level planning model. The simulated anneal arithmetic is used to solve the optimal model. Taking an model car manufacturing task on the platform as an example, the feasibility and effectiveness of the method are verified.
KW - 3D printing
KW - Cloud service platform
KW - Economic benefit
KW - Manufacturing capacity
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85069217266&partnerID=8YFLogxK
U2 - 10.23919/IConAC.2018.8749123
DO - 10.23919/IConAC.2018.8749123
M3 - 会议稿件
AN - SCOPUS:85069217266
T3 - ICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing: Improving Productivity through Automation and Computing
BT - ICAC 2018 - 2018 24th IEEE International Conference on Automation and Computing
A2 - Ma, Xiandong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th IEEE International Conference on Automation and Computing, ICAC 2018
Y2 - 6 September 2018 through 7 September 2018
ER -