LOW-CODE APPLICATION FOR OPTIMIZING INDUSTRIAL MAINTENANCE IN AN AUTOMOTIVE COMPONENTS COMPANY

Resumen

Industrial maintenance management still suffers from delays in information flow and low record reliability, impacting availability, prioritization, and planning. This study aims to demonstrate, through Design Science Research (DSR), how a low-code solution can reduce order acceptance time and institutionalize digital maintenance routines in a real-world environment. The solution was developed in Microsoft PowerApps, integrated with SharePoint and Outlook, and incorporates authentication, mandatory fields with timestamps, a service queue, and cloud-based history. Validation took place in the factory with operators and maintenance managers. The results indicated a 56% reduction in average acceptance time, an estimated annual savings of 820 man-hours, and a 3.2% increase in OEE. The scientific contribution lies in demonstrating that low-code solutions can structure data routines and reduce delays in information flow with low integration effort, providing a consistent basis for advanced analytics, such as call prioritization and assisted diagnostics, differentiating it from more costly and complex approaches described in the literature.