Padiuka R. Models and methods of resource management of crop production projects

The dissertation work on the basis of the researches solves an important scientific and applied problem concerning improvement of quality of management of resources in industrial projects of plant growing thanks to development of the system-resource approach and development of models and methods based on features of and form the tools for initiating and planning these projects with limited resources. One of the most relevant production projects today are crop projects. The implementation of crop production projects has a number of features, taking into account which in resource management will increase the financial benefits for their participants by reducing the loss of the final product. The analysis of the existing classifications of resources in projects and the structure of their management processes made it possible to find out that in crop production projects they have their own characteristics, which requires the development of specific tools for their management. The proposed system-resource approach to the management of crop production projects is based on the systematic disclosure of relationships between work and resources, as well as the impact on them of changing production and climatic components of the project environment, which is the basis for determining resource use and also provides the creation of quality tools for resource management of production projects during their initiation and planning. Substantiated main principles of creating a model for selecting rational types of resources for work in crop production projects include the calculation of time characteristics of all project works, construction of a project schedule and determination of expected losses of their product. The established features of resource use in crop production projects suggest that methods and models should be developed taking into account the specific events of these projects, as well as the characteristics of the project environment to increase the efficiency of resource management processes. The proposed model of selection of rational types of resources for work in crop production projects is based on the development and use of artificial neural networks, which are a multilayer perceptron with the function of activating the neuron "hard step". The improved model of forecasting product losses in crop production projects is based on the use of methods of calendar planning and simulation modeling of work in these projects, which provides a quantitative determination of indicators of late work for given resources. In contrast to the existing models, the proposed work takes into account the technological requirements for the directive terms of work, the scale of projects, as well as the number and properties of available resources. Improved methods for identifying the climatic component of the design environment of crop production projects and forming a database for their management are based on the analysis of statistical data of zoned agrometeorological stations and the availability of production and technical resources for project implementation. In contrast to the existing ones, they make it possible to fully take into account the impact of changing components of the project environment on the quality of knowledge gained on time deviations from the directive deadlines and availability of resources when planning these projects. The proposed block diagram and algorithm of the developed decision support system for management of production and technical resources, which consists of two subsystems of data storage and formation of an orderly calendar schedule of works, allow to effectively analyze the use of available production and technical resources during work and, if necessary, additional resources to avoid product product losses due to late work, which in turn is the basis for accelerating and ensuring quality management decisions. The formed database for resource management in production projects of crop production will allow to organize available land, technical and human resources and to establish the necessary knowledge for further modeling of projects by means of the developed system of decision support for system-resource management of the specified projects. The obtained results of the design environment of crop production projects on the productivity of technical equipment are the basis for quality planning of individual blocks of work. It can be noted that the analysis of statistical data of zoned agrometeorological stations and the availability of production and technical resources in crop production projects will allow to adequately determine the indicators of late work for given resources. Developed methods and tools of system-resource management of crop production projects are implemented in the practice of solving management problems to improve the quality of resource management in crop production projects, which indicates the proper quality of the developed proposed tools.