Enhancing process parameter definition in a coil coating paint line

The improvement of industrial processes is essential to ensure operational efficiency and product quality, particularly in continuous manufacturing environments such as coil coating, where process parameter definition is critical. This study proposes and validates a structured methodological framework for the definition and automation of process parameters in continuous industrial processes. The research was conducted in a coil coating production line, focusing on a procedure that had previously been performed manually, making it time-consuming and prone to human error. An action research approach was adopted, involving data collection, analysis of the existing workflow, and the development of a computational decisionsupport solution using Microsoft Excel and Visual Basic for Applications (VBA) integrated with SAP Script. The proposed method was evaluated through a before-and-after comparative analysis, using execution time and operational efficiency as key performance indicators. The results show a reduction of approximately 98% in execution time, decreasing from up to 15 hours to about 12 minutes, achieved by eliminating interdepartmental dependencies and automating parameter calculation and system loading. The main scientific contribution lies in the formalization of a replicable framework that transforms a tacit, experience-based activity into a structured decision-support methodology applicable to continuous industrial processes.