Accelerate Formulating the Technology Strategy of Intelligent Manufacturing Suited to the National Conditions

Jianlin Yan, Jingchen Dong, Yishana Gu, Xiaoying Yang

Strategic Study of CAE ›› 2018, Vol. 20 ›› Issue (4) : 9-12.

PDF(315 KB)
PDF(315 KB)
Strategic Study of CAE ›› 2018, Vol. 20 ›› Issue (4) : 9-12. DOI: 10.15302/J-SSCAE-2018.04.002
Comprehensive Study
Orginal Article

Accelerate Formulating the Technology Strategy of Intelligent Manufacturing Suited to the National Conditions

Author information +
History +

Abstract

At present, a new round of scientific and technological revolution as well as industrial transformation is accelerating, and global manufacturing has entered a new stage of development. Developed countries such as the United States, Germany, and Japan have formulated their own development strategies for intelligent manufacturing technology. Intelligent manufacturing in China is in a critical period of accelerated development. However, the problem of insufficient and imbalanced development is very prominent. In this context, a development strategy for the intelligent manufacturing technology suitable for China’s national conditions must be developed according to the principle of combining perspectiveness, stages, practicability and openness, thus to guide and promote the scientific intelligent upgrading of manufacturing in China.

Keywords

China’s national conditions / intelligent manufacturing / technological strategy

Cite this article

Download citation ▾
Jianlin Yan, Jingchen Dong, Yishana Gu, Xiaoying Yang. Accelerate Formulating the Technology Strategy of Intelligent Manufacturing Suited to the National Conditions. Strategic Study of CAE, 2018, 20(4): 9‒12 https://doi.org/10.15302/J-SSCAE-2018.04.002

References

[1]
周济. 智能制造——“ 中国制造 2025” 的主攻方向 [J]. 中国机械工程, 2015, 26(17): 2273–2284.
[2]
Zhou J, Li P, Zhou Y, et al. Toward new-generation intelligent manufacturing [J]. Engineering, 2018, 4(1): 11–20.
[3]
延建林, 孔德婧. 解析 “ 工业互联网” 与 “工业4.0” 及其对中国制造业发展的启示 [J]. 中国工程科学, 2015, 17(7): 141–144.
[4]
欧阳劲松, 刘丹, 汪烁, 等. 德国工业4.0 参考架构模型与我国智能制造技术体系的思考 [J]. 自动化博览, 2016 (3): 62–65.
[5]
梅恪. 智能制造统一参考架构模型探索 [J]. 信息技术与标准化, 2017 (8): 20–24.
[6]
中国工程院战略咨询中心, 中国信息通信研究院, 机械工业信息研究院, 等. 智能制造发展对策研究 [R]. 北京: 中国工程院战略咨询中心, 中国信息通信研究院, 机械工业信息研究院, 2017.
[7]
中投顾问股份有限公司. 2016—2020 年中国智能制造行业深度调研及投资前景预测报告 [R]. 深圳: 中投顾问股份有限公司, 2016.
Funding
CAE Advisory Project “Research on Intelligent Manufacturing Led by New-Generation Artificial Intelligence” (2017-ZD-08-03)
AI Summary AI Mindmap
PDF(315 KB)

Accesses

Citations

Detail

Sections
Recommended

/