Revolutionizing Knowledge Assessment in Manufacturing with Bayesian Networks!
The article presents a model using Bayesian networks to assess knowledge in a manufacturing company's R&D department. By applying this model, the company was able to quickly identify and evaluate the knowledge within the department, reducing the time needed for knowledge acquisition and ensuring its correct identification. This approach helps optimize knowledge management processes in production enterprises, specifically in the automotive sector.