Express Method for Assessing the Complexity of New Developments Based on Analog Products
Автор: Shcheglov D.K.
Журнал: Петербургский экономический журнал @gukit-journal
Рубрика: Экономика и управление хозяйствующими субъектами
Статья в выпуске: 1 (47), 2025 года.
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In the standard methods of conducting feasibility studies for R&D projects in the field of mechanical engineering, project complexity is typically taken into account using empirical coefficients that lack a rigorous scientific basis. Therefore, it is important to improve existing methods for organizing production processes with the goal of increasing the accuracy with which the complexity of prospective projects can be assessed. This will in turn enable a more precise estimation of the difficulty and timeframe for implementing such projects in the future. The aim of this proposed study is to develop a scientific and methodical framework (expressed as a methodology) for evaluating the complexity of new projects based on data from similar projects. To accomplish this, the author will use methods of systems analysis, expert analysis, non-parametric statistics, and methodological recommendations from the Russian Ministry of Labor regarding labor regulations in R&D activities. The novelty of the proposed methodology lies in its ability to evaluate the complexity of various projects in mechanical engineering, including research, design, and manufacturing. This paper presents a formal approach to analyzing the complexity of new projects based on similar (prototype) projects. It also proposes a system of indicators for pre-project assessment of the complexity of research and new developments, as well as the permissible numerical values for these indicators in specialized mechanical engineering. The proposed methodology allows for a practical evaluation of the complexity of a project in order to make informed organizational and technical decisions. It can also be used for further feasibility studies for R&D efforts in the field of mechanical engineering.
Complexity evaluation, design and engineering work, r&d, analog method, systematic approach, complexity metrics
Короткий адрес: https://sciup.org/140309217
IDR: 140309217 | DOI: 10.32603/2307-5368-2025-1-157-169