Methods for assessing the quality of the talent pool in a project team and how their skills influence the project risk

Aim. To develop a methodology for assessing the quality of the talent pool in a project team and forecasting the impact of their expertise on technical and economic indicators and engineering risks of the safe operation of planned transport facilities.

Materials and Methods. The quality of transport facility projects is determined by innovative technical and technological solutions and construction materials. It also depends on the expertise of the design teams. The methods for assessing the quality of the talent pool in a design team is based on the assumption that the skills of a designer are latent (hidden variable) and depend on the skills attributes inherent in an expert. Quantitative characteristics of attributes are random variables. In this regard, the quality indicators of the projects being developed are probabilistic, which calls for an analysis of the risks of design (engineering) errors. To assess the skills of experts and their impact on the technical and economic indicators of projects, along with the general methodological principles of qualimetry theory, methods of multi-criteria and statistical analysis are proposed. Quantitative characteristics of skills attributes (their expected values) are combined into an integral skills indicator through the comprehensive use of mathematical methods of multi-additive and multiplicative convolution.

Results. We produced an analytical model of an expert’s skills that takes into account the impact of both interdependent and independent private indicators of professional training on the generalized quality indicator.

Conclusion. The problem of professional training is most evident at the stage of designing transport facilities. The project establishes the main properties of safety, reliability, efficiency and other quality indicators of transport facility construction projects based on transport operating and technical and economic indicators. The proposed methodology allows for identifying functional relationships between the quality of the talent pool in a design team and the quality of design solutions. The functional relationships obtained during the development of the methodology make it possible to assess the impact of skills on project risks and ensure thorough hiring, as well as developing training programs for team experts.