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.

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 article discusses the issue optimization of the equipment loading schedules for automated technological complexes using genetic programming. Criteria for evaluating the effectiveness of the resulting schedule are determined. A two-level chromosome is proposed, containing information on the size the batch each type of detail and the sequence of their launch into production. A modification of the two-point crossing-over and the mutation operator has been developed, in which values are exchanged between two randomly selected chromosome elements. When a conflict occurs in the repeatability of string elements, a chain transformations is built based on the known chromosome regions, which give a one-to-one mapping. An object-oriented model of the work of automated technological complexes is used as a fitness function. The proposed modified genetic algorithm makes it possible to obtain suboptimal schedules of the complex operation within an acceptable time date.