Development of methodical approach to forecasting of the quality of enterprises activity

Abstract

Existing approaches to formation strategy of quality management of road construction enterprises are analysed. The state of management of works of road construction companies in the current economic conditions is considered. These two facts have allowed to reach a conclusion to develop methods for predicting the quality of works of road construction companies. These methods should take into account the specificity of activity of domestic road construction companies and benefits of such consumers as project customer. Also they should use real economic data for parameterization of mathematical models without the involvement of experts to assess the quality of work of road construction companies at every stage rpad construction. It is determined that current approaches to quality control of road construction are not fully suitable for domestic road construction companies, in particular, they are built on the classical principles of ISO 9001. In practical application they do not solve all the problems that are common to all models of traditional management. Some approaches are based on the use of models that are poorly exposed parameterization. Other approaches, by contrast, are not enough formalized from mathematical point of view in order to use them as a means of support for management decisions. In addition, most of the analyzed approaches used expert assessments that have a number of drawbacks, including complexity of their realization, problems with reproduction of resultswith, as well as the competence of experts. Therefore, the paper presents a scientific and methodical approach to forecasting the quality of road construction work, which, unlike the existing ones, is based on the study of individual variants of predictive states of the quality of road works. It can be done due to the high probability of prediction of the quality, which allows the company to predict probability of adverse events and to take operational management measures to achieve planned objectives as for the quality.