SOFTWARE COMPLEX FOR INTELLIGENT DECISION SUPPORT IN MANAGING WELDING WORK ORGANIZATION

This article presents a description of a software complex for intelligent decision support in managing welding work organization and implementing a technology to improve the efficiency of these processes using the developed software complex. The complex integrates modules for welders’ training, task assignment, quality control, and automatic detection of welding seam defects. The core element of intelligent decision support is implementing adaptive swarm intelligence algorithms (bee colony, ant colony, firefly algorithms) for personalized training trajectories and staff qualification improvement, as well as evolutionary modelling for rational distribution of welding assignments among workers. Integration of defect data detected by convolutional neuro-fuzzy networks ensures a closedloop feedback cycle, increasing the objectivity of work quality assessments and the validity of managerial decisions. Applying the technology for improving the efficiency of managing welding work organization using the developed software complex comprises six consecutive stages, starting from defect identification and ending with task redistribution adjustments after training. The developed approach improves the quality of welds, reduces labour intensity, and shortens execution timelines.