Publication Details
Abstract
The article presents a human-machine management system for a motor industry tool shop, designed based on developed models and algorithms addressing production division management tasks. The economic efficiency of the proposed system has been analyzed, demonstrating its potential to enhance the operational effectiveness of modern vehicle production units. The system supports management decision-making by leveraging the operational staff’s ability to adapt to informal situations, utilizing their experience, intuition, and predictive capabilities to address evolving production conditions. This management approach enables the activation of hidden reserves and additional resources within the production environment by fostering the creative initiative of unit leaders and site managers. Furthermore, the system’s capacity for rapid adaptation to changes in the production environment allows it to stabilize production processes more effectively than traditional batch information processing systems, even under the influence of random factors.