This dissertation discusses revenue management; a technique that focuses on decision making that will maximize profit from the sale of perishable inventory units. Inventory service companies with different manufacturing companies. Units of inventory unsold in the service industries are perishable because the services can't be store. This has caused sales service is a priority. Airline, hotels, rail traort services, cinemas and all service industries that are losing their asset value over time in order to maximize their profits tend to use RM techniques. The revenue management system to be used frequently in the hotel industry to maximize revenues in the short time. The system also incorporates deterministic and stochastic mathematical programming models that help to make the best decisions. The actual revenue depends upon which reservation system the hotel uses. Today, researchers and managers to better manage and increase hotel industry revenues, RM mathematical models have been considered appropriate to the industry. However, most research today are using it only to manage revenues from individual travelers, ignoring revenues from group travelers. However, group travelers can contribute to increase an hotel’s revenue and to fill room that otherwise would have gone empty. This dissertation divided hotel customers into a general case considering individual guests and customer groups. Individual customers are divided to two types leisure and business customer. Also For group demand, there are two types of demand: ad hoc and series. This dissertation considered series groups that are larger in scale and are typified by repeat travelers or consistent patterns of travel. With regard to the reservation systems in the hotel industry, in order to maximize hotel revenue, the proposed mathematical programming models presented. Finally, determine the best strategy planning models, the hotel reservation policy for a period of thirty days of the reservation will be available next month.