School of Economics and Management, Jiangxi Polytechnic University, Jiujiang, 332000, China.
Research Center of Management Science and Engineering, Jiangxi Normal University, Nanchang, 330022, China.
Sci Rep. 2024 Aug 23;14(1):19646. doi: 10.1038/s41598-024-70502-7.
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.
在工业 4.0 的浪潮下，传统制药企业迫切需要智能制造转型升级，探索智能制造转型升级的最优实现路径，有助于加速制药企业的转型升级进程。本文采用扎根理论研究方法，对中国制药企业智能制造转型升级的影响因素进行多案例研究，总结出中国制药企业智能制造转型升级的六大影响因素；然后基于 DEMATEL 方法和 NK 模型对智能制造影响因素进行相关性分析，并据此识别出关键影响因素，进而绘制出智能制造转型升级的适配景观图，最终得出制药企业智能制造转型升级的最优路径选择。该研究丰富和拓展了智能制造转型升级的研究范式，为制药企业实现智能制造转型升级提供了借鉴。
