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

作者：Wei Zhu, Ping Ouyang, Xue Ke, Shanshan Qiu, Shuqin Li, Zhensong Jiang · 发表于：Scientific Reports · 年份：2024 · DOI：10.1038/s41598-024-70502-7 · 被引用次数：5 · 研究领域：Manufacturing Process and Optimization、Quality and Supply Management、Digital Transformation in Industry

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.