The goal of the proposed paper is to provide a methodology to map electronic processes of manufacturing control systems matching with Knowledge Management (KM) processes. Specifically, the paper discusses an example of Proportional-Integral-Derivative (PID) process tuning a production machine and enabling quality management and predictive maintenance processes. The PID circuital model is designed by the LTspice tool, and the whole production process is designed by the Business Process Model and Notation (BPMN) standard, including the role of the Artificial Intelligence (AI) in the optimization of the machine control. Furthermore, the work describes possible Knowledge Base (KB) data sources enabling KM in Industry 5.0 scenarios characterised by AI-data-driven PID-controlled systems. Finally, are discussed the new manager roles matching with the proposed KM system.