The research results of this paper show that parameters of the catch-up schedule are determined by the dynamics of time-averaged volumes, rates and accelerations of construction jobs only when discrete nature of resources consumed has a weak influence on the rate of project jobs. On the other hand, if the speed of job is determined by the use of nostockable resources, the dynamics of jobs volume demonstrates the weak sensitivity both to the discrete nature of resources and to external stochastic influences. In this, the speed and acceleration of jobs experience jumps at the times of changes in the number of resources used. Thus, a time-averaging operation leads to the loss of information about these features of construction dynamics. In this paper the algorithms for stochastic factors accounting (characterized by different influences on the project implementation) are formulated. Moreover, the algorithm for forming the catch-up jobs schedule is obtained based on the results of monitoring of the jobs pace and averaging only over periods of a constant composition of a number of discrete resources. Furthermore, both empirical methods of separation of stochastic and deterministic impacts on the project implementation, as well as a method based on the qualitative difference in the Fourier spectra of stochastic and deterministic functions, have been developed. The limits of applicability of the empirical and exact methods are analyzed. It is shown that the Fourier analysis of the monitoring results allows to completely recover the deterministic information even against the background of the stochastic signal that coincides with it. It is shown that the proposed algorithm makes the formulation of catch-up jobs scheduling parameters possible, allowing to avoid financial and image losses associated with the untimely end of the project or its main parts.

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Paper provides a comparative analysis of three nuclear power plants: Novovoronezh NPP in Russia, Kudankulam NPP in India, and Bruce NPP in Canada. The basic parameters (site plan, biosphere diversity, types and capacity of reactors, amount of electricity generated and its cost) are compared. Types of waste generated at all three nuclear power plants and methods of their treatment are analyzed. Brief overview of some of the security systems used at these power plants is conducted. On the basis of comparative analysis, proposals for improving the environmental situation in the Novovoronezh NPP region (e.g. improvement of the wastes management) are made, with the proposal of nuclear fuel cycle scheme enhancement.

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There is show an experience of modern methods of scheduling in construction. There are reviewed existed scheduling methods: Critical Path Method, Constraints Programming, Job Shop Scheduling. Additionally there were reviewed methods with special edition for construction industry: shortest path planning, continue development frontline volume method, continue resources utilization method. All reviewed methods are simplified and don’t consider stochastic factors. Specific of the construction operation is a especially strong influence of stochastic factors to the construction production processes. There were reviewed methods of time reserve utilization, which appears in different stages of operations. This time reserve could be used, in particular, for minimization of negative aftereffects of stochastic factor influence on elements of construction. For these purpose was created target function of negative aftereffects minimization task, which describes dynamic and stochastic loses. The contribution of stochastic factors is expressed by exponential functions. There is shown, that redistribution of time reserve allows without any dynamic loses, to decrease contribution of stochastic loses. There is shown, that in approximation of independent works, the optimal schedule is that, which considers increasing of time reserve on critical directions. There is showed on individual example of algorithm for negative factors aftereffect minimization. Using this algorithm allows to make schedule with details of minimal approximated stochastic loses. In opposite, having a possibility of resources redistribution to directions, associated by high risks and loses, the optimal schedule plan will be alternative schedule plan, considering a possibility of operative redistribution, even through risks rise on non-critical directions.