The airspace that we consider is a volume without hole made up of sub-volumes. A capacity, described by a maximum throughput, is calculated in cooperation with ATC controllers several months before the day of operations. It is assigned for each sub-volume. A sub-volume is called a sector or a group of sectors. According to the predicted traffic and the available staff of controllers, sub-volumes number and capacity vary throughout the day and define a scheme for armed control positions, what we call the opening schedule. Depending on the opening schedule and on the predicted traffic sample, it is necessary to apply a set of regulation measures to avoid remaining sectors overloads. A regulation measure is described by a sector or a group of sectors, a time period and a capacity. A flight passes through 7 sectors or groups of sectors in France on average (13 in Europe). Hence, a single regulation measure may protect several sectors or groups of sectors. Knowing that the French control system manages up to 8000 flights per day (27 000 in Europe), it would be very effective to reduce as much as possible the number of treated regulation measures. In this document, we define a working methodology which aims at reducing the size of the regulation scheme. Simulations were carried out with SHAMAN experimental platform. Constraints programming was used to solve the problem.