ELECTRONIC KANBAN WITH ARTIFICIAL INTELLIGENCE: DEVELOPMENT AND IMPLEMENTATION OF A SOLUTION FOR DIGITAL TRANSFORMATION AND PRODUCTIVE OPTIMIZATION IN A PIM TAPE INDUSTRY

Abstract

This study details the development and application of an electronic Kanban system with Artificial Intelligence (AI) integration in a company in the Manaus Industrial Pole (PIM). The research follows the precepts of Industry 4.0, focusing on optimizing production sequencing, improving operational efficiency, and reducing costs. The methodology combined exploratory and applied approaches, employing qualitative and quantitative methods to map bottlenecks and create customized technological solutions. The results demonstrate significant progress, including a 67% reduction in order registration time, a 22% increase in overall equipment efficiency (OEE) and an 18% reduction in non-conformities identified in the final inspection. The study highlights the transformative impact of digitalization and automation on the modernization of PIM companies, in addition to presenting a practical and replicable model to face similar challenges in the Brazilian industrial context.