This project is a case study developed in a real industrial context of a company in the automotive industry dedicated to tyre manufacturing. The high quantity of items associated with a limited production capacity in the balancing section leads to a significant increase in production planning activity complexity. The allocation of products to the balancing machines is done daily by workers who use only spreadsheets, taking a significant part of their day in a time-consuming and complex activity. To evaluate the usage of the installed capacity of the machines and to minimise the setups in the equipment, a Decision Support System (DSS) based on optimisation models is developed. Having as input the items that need to be tested, the DSS suggests an optimal configuration of the equipment that will minimise the setups and guarantee that all tyres are tested, facilitating the daily routine of production planners. This article describes the problem, the mathematical model of linear programming that is the basis of the DSS. It presents the results obtained after testing the system in a real context.