NK model simulation study of intelligent manufacturing transformation path selection in pharmaceutical manufacturing enterprises

Under the wave of Industry 4.0, traditional pharmaceutical manufacturing enterprises are in urgent need of intelligent manufacturing transformation and upgrading, and exploring the optimal realization path of intelligent manufacturing transformation can help accelerate the transformation process of...

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Bibliographic Details
Published in:Scientific reports 2024-08, Vol.14 (1), p.19646-20, Article 19646
Main Authors: Zhu, Wei, Ouyang, Ping, Ke, Xue, Qiu, Shanshan, Li, Shuqin, Jiang, Zhensong
Format: Article
Language:English
Subjects:
639/705/258
704/844/685
China
Computer Simulation
Drug Industry
Humanities and Social Sciences
Humans
Influencing factors
Intelligent manufacturing transformation
Manufacturing
Manufacturing industry
Models, Theoretical
multidisciplinary
NK model
Path selection
Pharmaceutical manufacturing enterprises
Pharmaceuticals
Research methods
Science
Science (multidisciplinary)
Technology, Pharmaceutical - methods
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Summary:Under the wave of Industry 4.0, traditional pharmaceutical manufacturing enterprises are in urgent need of intelligent manufacturing transformation and upgrading, and exploring the optimal realization path of intelligent manufacturing transformation can help accelerate the transformation process of pharmaceutical manufacturing enterprises. This paper uses grounded theory research methods to conduct a multi-case study to summarize six influencing factors of the intelligent manufacturing transformation of Chinese pharmaceutical manufacturing enterprises; and then analyzes the correlation between the intelligent manufacturing influencing factors based on the DEMATEL method and the NK model, and identifies the key influencing factors according to this, and then draws the fitness landscape map of the intelligent manufacturing transformation, and finally arrives at the optimal path selection of the intelligent manufacturing transformation of pharmaceutical manufacturing enterprises. The study enriches and extends the research paradigm of intelligent manufacturing transformation, and provides lessons for pharmaceutical manufacturing enterprises to realize intelligent manufacturing transformation and upgrading.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-70502-7