Approach to implementating pro-active management over resources of the departments of constituent entities of the tourism cluster

The tourist cluster has recently occupied one of the central places in the socioeconomic system of the region. The lack of efficient methodology of managing the resources of the regional constituent entities (using the example of housekeeping service of the hotel) is an unsolved problem. The existing methods of management are ineffective in the conditions of modern activity of the hotel. The proposed solution is to use pro-active resource management methodology. The pro-active management methodology includes the following models: management of the housekeeping personnel, management of the laundry, forecasting the housekeeping resource requirements, support for the management decisions made by the housekeeping service manager. The developed methodology is used as a basis for PaUR web-based automated system. Machine learning methods were used to implement the model of forecasting the need for housekeeping resources, the main advantage of which is the operational retraining of models required due to the rapidly changing situation in the operational activities of the hotels. The use of the proposed methodology allows increasing the labor productivity of housekeeping service personnel, reducing costs, as well as using an open and effective system of staff motivation.