Digitalización y varianza de material en empresa manufacturera de cables eléctricos: Nexans Canadá

Abstract

Digital transformation has established itself as a strategic pillar for the manufacturing industry by enabling greater visibility across production processes, data-driven decision-making, and sustained improvements in operational efficiency. In this context, this case study analyzes the implementation of a real-time data collection and digitalization system in the Armouring process at the Nexans Canada plant, aiming to evaluate its impact on material variance control and operational performance. This research adopts a descriptive-analytical approach to examine the integration of Industry 4.0 technologies into the Armouring process of the facility under study. Specifically, it analyzes the interplay among cyber-physical systems, programmable logic controllers (PLCs), the AVEVA Historian industrial monitoring platform, and analytics and visualization tools such as Power BI. Utilizing a previously standardized data model, critical operational variables were captured, stored, and processed across high-priority machinery, enabling the examination of material consumption behavior and its relationship with operating conditions. The analysis of the collected data facilitated the identification of variance trends, the evaluation of the impact of operational variables—such as speed, torque, and process states—and the configuration of process alert mechanisms. The results demonstrate that the digitalization of the manufacturing process enhances material variance control by enabling early deviation detection and structured trend visualization through statistical process control tools.