Selection of evaluation methods when forming personnel of project teams

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Introduction. An important condition for successful business development in modern conditions is the application of project management methodology, which uses the principles of command work. Despite the fact that approaches to evaluation of applicants to the project team are defined within the framework of a certain organization and take into account its specificity, it is difficult to clearly quantify the competence of such specialists. Due to the large number of evaluation methods available, it is necessary to select a narrower and more accurate set of test material corresponding to the specific organization and competency model of the team member. Aim. The purpose of the work is to solve the problem of forming an optimal set of tests, satisfying the conditions of maximization of their quality and minimization of time expenses. Methods. In order to develop an algorithm that optimizes this process, it is necessary to analyze existing tests and methods of evaluation of competence of applicants to the project team and to develop an algorithm for formation of an optimal package of tests with the condition of minimization of time spent on their passage and maximization of the degree of compliance of the test with quality. To determine the optimal solution of the problem of minimum coverage of multiple competences by tests taking into account minimization of time and maximization of compliance degree, a modified method of branches and boundaries is used. To solve the task of selecting an employee for a position, a modification of the TOPSIS method is proposed. Results. The work proposes a multi-criterion mathematical model for forming an optimal portfolio of tests for assessing the competences of applicants for membership of the project team. Conclusion. The proposed mechanism can be applied to the activities of any company using project management methods.

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Project, team, personnel, minimum coverage task, branches and boundaries method

Короткий адрес: https://sciup.org/147233750

IDR: 147233750   |   DOI: 10.14529/ctcr200211

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