The article discusses the problem automating the construction of schedules for cement production. The necessity using a computer system for planning the loading of technological equipment is substantiated in order to develop the optimal use of available resources for the timely and high-quality execution production tasks. The essence of the problem is shown, which is to allocate resources (cement mills and produced brands of cement) the production system for a given target plan so as to exclude deviations the real plan from the target, as well as to reduce the number of mill switchings to a minimum. The formalization the task planning the loading the mills is carried out and those essential parameters of the process are given, which are selected as the initial data for solving the task planning the operation of grinding mills. The solution to the problem constructing schedules for the operation of cement mills is based on the use of a genetic algorithm, for which an implementation sequence is proposed. The results solving the problem are also presented, which confirm the correctness the chosen method and its implementation.

The article considers the functions performed by the system for monitoring the fine structure of the water environment hydrophysical fields, starting from initialization the system parameters to visualization the received information. As a result of a detailed analysis the selected functions, which consists in determining the input information flows, their representation and transformation, a functional diagram of the measuring system for monitoring the fine structure of the water environment hydrophysical fields was developed, which allows reducing the cost of conducting sounding and ensuring the necessary measurement accuracy, thanks to the chosen sensing strategy and the use of a database of simulated parameters of turbulated layers .

Classes of objects that form the information system structure for monitoring the water environment hydrophysical fields have been developed. Class descriptions include object parameters that affect the composition and operation of the system, and methods that define actions with class instances. Additional control classes are proposed for describing the interaction of objects and simulating the sensing process.

The paper examines the development of an object model that maps the structure of an information measurement system for water environment research and the process of information evolution from a physical measured quantity to a data file. The presented object instance action and behavior models allow to describe the operation of the system by object-oriented design tools.

The article proposed and reviewed a 3D model of the utility matrix, showing its analysis and proposing a generalized algorithm for solving a multi-critical decision-making problem under conditions of uncertainty based on this model. The essence of the technique is that the matrix-cube is divided into sections parallel to any axis (the axis of alternative solutions, the axis of undefined external situations, or the axis of criteria) and as a result we get several two-dimensional utility matrices to which we can apply any of the standard methods for solving decision-making’ problems. The application of the described method to finding the optimal solution in the conditions of uncertainty is shown by example.