[Lean strategy for data mining and continuous improvement of Chinese pharmaceutical process: a case study of sporoderm-removal Ganoderma lucidum spore powder].
Zhongguo Zhong Yao Za Zhi
; 48(3): 829-834, 2023 Feb.
Article
em Zh
| MEDLINE
| ID: mdl-36872247
ABSTRACT
In the digital transformation of Chinese pharmaceutical industry, how to efficiently govern and analyze industrial data and excavate the valuable information contained therein to guide the production of drug products has always been a research hotspot and application difficulty. Generally, the Chinese pharmaceutical technique is relatively extensive, and the consistency of drug quality needs to be improved. To address this problem, we proposed an optimization method combining advanced calculation tools(e.g., Bayesian network, convolutional neural network, and Pareto multi-objective optimization algorithm) with lean six sigma tools(e.g., Shewhart control chart and process performance index) to dig deeply into historical industrial data and guide the continuous improvement of pharmaceutical processes. Further, we employed this strategy to optimize the manufacturing process of sporoderm-removal Ganoderma lucidum spore powder. After optimization, we preliminarily obtained the possible interval combination of critical parameters to ensure the P_(pk) values of the critical quality properties including moisture, fineness, crude polysaccharide, and total triterpenes of the sporoderm-removal G. lucidum spore powder to be no less than 1.33. The results indicate that the proposed strategy has an industrial application value.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Reishi
/
Indústria Farmacêutica
/
Mineração de Dados
Tipo de estudo:
Prognostic_studies
Idioma:
Zh
Revista:
Zhongguo Zhong Yao Za Zhi
Assunto da revista:
FARMACOLOGIA
/
TERAPIAS COMPLEMENTARES
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
China