Influence of the Discrete Nature of Non-Stackable Resources on the Adjustment of the Construction Projects Implementation Schedule

The analysis of existing methods of calendar planning of construction production is carried out. It is determined that in practice, the optimal implementation of the project is complicated by external stochastic influences, which necessitates dynamic adjustment of the project implementation process. It is shown that only when the discrete nature of resources consumed has a weak influence on the pace of work on the project, the parameters of the catch-up schedule are determined by the dynamics of the time-averaged volumes, rates, and accelerations of work. In the opposite limit, speeds and accelerations of work experience a jump at the moment of changing the number of used resources. In this case, the speed of work is determined by the usage profile of the dominant discrete non-stackable resources. The dynamics of work volumes, in contrast to their speeds, demonstrates a weak sensitivity, both to the discrete nature of resources and to external stochastic influences, and can not serve as a basis for dynamic adjustment of the schedule. It is shown that time averaging leads to loss of information about these features of construction dynamics. An algorithm for forming a catch-up work schedule is obtained based on the results of monitoring the work rate and averaging only the number of discrete resources over periods of constant composition. Both an empirical method for separating stochastic and deterministic effects on the course of project implementation, and a method based on the qualitative difference between the Fourier spectra of stochastic and deterministic functions have been developed. The limits of applicability of empirical and exact methods are analyzed. It is shown that the Fourier analysis of the monitoring results makes it possible to completely restore the deterministic information even against the background of a stochastic signal that coincides with it in intensity. It is shown that the proposed algorithm makes it possible to formulate the parameters of the catch-up work schedule, which allows avoiding financial and image losses associated with the untimely completion of the project or its main parts.

M.G. DOBROSOTSKIKH, Magister (This email address is being protected from spambots. You need JavaScript enabled to view it.),
K.V. MAKARYCHEV, Magister

Voronezh State Technical University (84, 20 let Oktyabrya Street, Voronezh, 394006, Russian Federation)

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