自动化与信息工程2025，Vol.46Issue(5)：16-23,8.DOI:10.12475/aie.20250502
浙江省与江苏省智能工厂梯度培育经验及对广东省的启示
Gradient Cultivation Experiences of Smart Factories in Zhejiang and Jiangsu Provinces and Their Implications for Guangdong Province
曹剑君 1吴碧瑜 2李佳仪 1曹永军 1黄兴 1廖春兰1
作者信息
- 1. 广东省科学院智能制造研究所/广东省现代控制技术重点实验室,广东 广州 510070
- 2. 广州鲁邦通物联网科技股份有限公司,广东 广州 511356
- 折叠
摘要
Abstract
Against the backdrop of increasingly fierce global manufacturing competition,China's manufacturing sector is facing dual challenges of rising labor costs and severe technological barriers.Smart manufacturing has become a critical path to bridge the efficiency gap.Through the implementation of gradient cultivation initiatives for smart factories,Zhejiang and Jiangsu provinces have explored distinct development pathways for smart manufacturing.Zhejiang Province,led by its"Future Factories,"has established a tiered cultivation path comprising digital workshops,smart factories,and future factories,thereby enhancing production efficiency.Jiangsu Province has promoted the development of a smart manufacturing ecosystem by establishing standard organizations,releasing regional development index reports,compiling industry implementation guidelines,and building a comprehensive publicity matrix.The practical experiences of both provinces demonstrate that a policy mix of mandatory and incentive measures,the construction of digital platforms,and cross-regional collaborative innovation are the core driving forces for the in-depth development of smart manufacturing.These experiences provide a practical model featuring layered advancement and ecosystem empowerment for the transformation and upgrading of China's manufacturing industry.Through an in-depth analysis of the gradient cultivation experiences of smart factories in Zhejiang and Jiangsu provinces,this paper proposes implications and recommendations for Guangdong Province,aiming to provide references for the intelligent transformation of its manufacturing sector.关键词
智能工厂梯度培育/智能制造/数字化转型/智能化升级Key words
smart factory gradient cultivation/smart manufacturing/digital transformation/intelligent upgrade分类
管理科学引用本文复制引用
曹剑君,吴碧瑜,李佳仪,曹永军,黄兴,廖春兰..浙江省与江苏省智能工厂梯度培育经验及对广东省的启示[J].自动化与信息工程,2025,46(5):16-23,8.
