This paper discusses the development and implementation of a Decision Support System (DSS) aimed at enhancing planning processes to improve productivity in the shop floor of a company. The company manufactures bakery and pastry machinery, and the goal was to improve the operational planning of the transformation section, identified as the area with the highest impact on key performance indicators. The DSS includes a metaheuristic approach, namely a genetic algorithm, to address this planning challenge, modeled as a Bin-Packing Problem that maximizes resource utilization while minimizing weekly demand of resources. The DSS includes a Power BI dashboard, enabling real-time visualization of planning indicators, resulting in significant improvements in the company: a 17% increase in adherence to the production plan and about 60% boost in transformation section productivity. This demonstrates how optimization and data visualization can substantially advance planning accuracy and resource efficiency in production environments.