September 2026 (published: 15.09.2026)
Number 3(66)
UDC 004.02
DOI 10.17586/2310-1172-2026-19-3-35-43
A decision support system for distributing tasks in project teams,
taking into account the work style of employees
Reference for citation: Trenina S.A., Borzykh N.Y. A decision support system for distributing tasks in project teams, taking into account the work style of employees. Scientific journal NRU ITMO. Series «Economics and Environmental Management». 2026. № 3. Р. 35-43. DOI: 10.17586/2310-1172-2026-19-3-35-43.
Abstract. The paper presents an approach to building a decision support system (DSS) for automating the project management process. The research aims to develop a mathematical model capable of performing a complex analysis of multi-criteria data and providing a well-founded solution for distributing tasks among organizational staff. The study utilized data on project activity and employee characteristics, allowing an assessment of each employee's work style. The primary research methods employed were multi-criteria optimization techniques, alongside the development of a function considering various aspects of project work. A mathematical model is presented that comprehensively accounts for heterogeneous data, including temporal constraints (task deadlines), task priority, and the efficiency and quality of work of individual employees. Particular attention is paid to accounting for individual team characteristics, enabling more accurate prediction of project completion times. The main result of the research is an algorithm that allows project managers to assess the quality of task distribution among employees and forecast project completion times based on the proposed distribution. The adaptability of the algorithm lies in the constant relevance of data, as the proposed method implies continuous analysis of new data and updates to the criteria influencing employees' work styles. The conducted research emphasizes the importance of integrating individual employee characteristics into automated project management processes. Future research directions include experimental validation of the model under real-world conditions and expanding the set of considered criteria to enhance decision-making accuracy.
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Keywords: decision support system, multi-criteria analysis, project team management, mathematical model, efficiency criteria, organizational system.
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