Cheng Yi-Yu, Zhang Bo-Li, Fang Tong-Hua, Liu Li, Zhao Xiao-Ping, Ye Zheng-Liang, Fan Xiao-Hui, Zhang Yan-Jun, Li Zheng
Department of Chinese Medicine Science & Engineering,Zhejiang University Hangzhou 310058,China State Key Laboratory of Component Chinese Medicine,Tianjin University of Traditional Chinese Medicine Tianjin 301617,China.
State Key Laboratory of Component Chinese Medicine,Tianjin University of Traditional Chinese Medicine Tianjin 301617,China.
Zhongguo Zhong Yao Za Zhi. 2019 Dec;44(23):5017-5021. doi: 10.19540/j.cnki.cjcmm.20191203.301.
To cope with the " six major scientific problems" and the " five major technical challenges" of intelligent manufacturing and lean production of Chinese medicine( CM),we systematically proposed strategies,methods and the engineering theory of intelligent and lean manufacturing for CM by integrating the holistic view of traditional Chinese medicine and the concepts inspired from international advanced pharmaceutical technology. Moreover,the translational research of the theory and methods was successfully applied to six CMs such as Xuesaitong Injection. Several intelligent production lines were designed and built on the basis of the theory and methods,which greatly accelerated the digitalization,networking,and intelligence manufacture for CM. As a conclusion,the theory and applications provide technical demonstration for technical upgrading and high-quality development of CM industry.
为应对中药智能制造与精益生产的“六大科学问题”和“五大技术挑战”，我们通过整合中医整体观与国际先进制药技术理念，系统地提出了中药智能与精益制造的策略、方法及工程理论。此外，该理论与方法的转化研究成功应用于血塞通注射液等六种中药。基于这些理论与方法设计并建成了多条智能生产线，极大地加速了中药的数字化、网络化和智能化制造。总之，该理论与应用为中药产业的技术升级和高质量发展提供了技术示范。
