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A method is proposed for calculating the kinematic viscosity of commercial heavy fuel oil at 100°C on the basis of mixing indices and with allowance for the equivalent kinematic viscosity of tar, which is represented by the product of the kinematic viscosity of the latter at 100°C by a certain coefficient determined from experimental data. There is satisfactory agreement between the calculations and measured data.

The problem of optimal multi-period production scheduling for continuous-discrete production was formulated as that of mixed-integer programming with a special structure of the constraints on the discrete variables. As was shown, this form of taking into consideration the a priori requirements on the schedule enables reduction in the number of possible variants of values of the discrete variables and, thus, simplification of the problem. The results obtained were verified by way of a plant model.

The relationship between linear programming dual estimates for the optimal production plan model and real regional market costs is studied. A two-stage linear programming model is necessary for exact approximation of cost allocation in analyzing with optimal plan estimates. A sign criterion is formulated for analyzing the reliability of the production planning model based on a comparison of the changes in the regional market costs and optimal plan estimates. An example is given to illustrate the analysis of reliability of the solution.