The cost of energy is an important component in terms of operating costs, the need to control energy use is becoming a national imperative and overarching objective in order to cope with the ever-increasing price increases and to be able to achieve energy savings in order to optimize the productivity ratio and thus reduce the carbon footprint from an environmental point of view. In our case study we are interested in the optimization process production operations planning. Using a case study from the sanitary ceramics industry, we propose a linear programming-based energy optimization model to address high energy consumption and associated costs. In particular, 2019 serves as the basis for this analysis, allowing to quantify the potential for energy savings without requiring additional investments, but simply by better management of production according to consumption. In addition, an analysis of consumption ratios and hourly rates revealed opportunities to maximize off-peak use, thereby reducing energy costs. The methodology involves analyzing electricity consumption patterns, pricing structures, and production schedules. A linear programming model was developed to optimize the distribution of consumption according to hourly rates, resulting in an efficient energy saving strategy. Key findings indicate significant energy savings can be achieved by reallocating energy-intensive operations to off-peak hours while minimizing usage during peak times.