Algorithm for managing a portfolio of innovative projects based on the Pareto-optimal allocation of labor resources

The research is devoted to the development of an algorithm for managing a portfolio of innovative projects, taking into account the optimal allocation of labor resources on individual projects. Effective management of the project portfolio, taking into account the limited labor resources, is an important task in modern conditions. Insufficient attention to the optimal allocation of labor resources can lead to exceeding deadlines and increasing costs. The purpose of this work is to develop an algorithm for managing a portfolio of projects based on the Pareto-optimal allocation of labor resources. As a result, a step-bystep algorithm is proposed, including the generation of the portfolio composition from Pareto optimal scenarios for each project, the calculation of deadlines and the redistribution of labor costs, Pareto optimization at the portfolio level and the analysis of parameter variability using the Monte Carlo method. The developed approach makes it possible to obtain a set of Pareto-optimal solutions corresponding to the specified constraints. In addition, the application of an algorithm for optimizing the composition of project teams for the formation of a portfolio of innovative projects was considered. The algorithm can be used for decision-making in project management, allowing you to allocate labor resources, provide the decision maker with a set of Pareto-optimal scenarios, as well as increase the effectiveness of projects and project portfolios.

Keywords: project portfolio management, optimal allocation of labor resources, Pareto optimization, project management, innovative projects.

References

  1. M. V. Bolsunovskaya, S. V. Shirokova, A. V. Loginova, A. M. Gintciak. IT Project Team Management based on a Network-Centric Model//Proceedings of 2018 17th RussianScientific and Practical Conference on Planning and Teaching Engineering Staff for the Industrial and Economic Complex of the Region, PTES 2018. St. Petersburg, November 14-15, 2018. Institute of Electrical and Electronics Engineers Inc. 2019. P. 165-168. doi 10.1109/PTES.2018.8604232.
  2. D. R. Zainullina. Criteria for evaluating the innovative projects efficiency//Russian Journal of Innovation Economics. 2021. Vol. 11. № 2. P. 801-818.
  3. I. A. Solov'eva, I. A. Mostovshchikova. Undertaking innovation activities at enterprises: A model for building efficient teams//Journal of New Economy. 2021. Vol. 22. № 2. P. 110-133.
  4. A. S. Rogov, I. A. Ryabova. The order of distribution of the labor potential of the organization in the conditions of project management//Economy: Yesterday, Today and Tomorrow. 2022. Vol. 12. № 3-1. P. 394-403.
  5. S. M. Beketov, M. V. Dergachev, A. M. Gintciak. Principled approach to optimizing the allocation of labor resources in the hierarchical management of a project portfolio//Proc. Int. Sci.-Pract. Conf. «Intellectual engineering economics and industry 5.0» (IEEI_5.0_Ecoprom)». St. Petersburg, 1-2 November 2024. St. Petersburg, Politekh-Press, 2024. P. 557-562.
  6. S. M. Beketov, M. V. Dergachev, A. M. Gintciak, S. G. Redko. Team formation in software projects: multi-criteria Pareto optimization//Software engineering. 2025. Vol. 16. № 2. P. 92-99.
  7. A. M. Gintciak, Zh. V. Burlutskaya, D. E. Fedyaevskaya et al. Digital modeling of sociotechnical and socio-economic systems. St. Petersburg: Peter the Great St. Petersburg polytechnic university, 2023. 164 p.
  8. A. Borovkov, M. Bolsunovskaya, A. Gintciak. Intelligent Data Analysis for Infection Spread Prediction//Sustainability. 2022. № 14 (4). P. 1995. doi 10.3390/su14041995.
  9. V. D. Nogin. Set and Pareto principle. Saint Petersburg: Publishing and Printing Association of Universities, 2022. 110 p.
  10. A. R. Denisov, M. Vakhid. Formulation of the optimization problem for forming a portfolio of projects for the strategic development of the company’s it infrastructure//Systems analysis in design and management. 2024. Vol. 28. № 2. P. 170-177.
  11. E. R. Schislyaeva, E. V. Kozhina, K. I. Sergeeva. Project portfolio management — an innovative approach to increasing the efficiency of the shipbuilding industry//Economic Vector. 2022. № 3 (30).
  12. M. V. Dergachev, S. M. Beketov. The algorithm for calculating the cost of the project, taking into account the timing and optimal composition of the team for making informed management decisions//Proc. III All-Russian Student Educational and Scientific Conf. «Innovation Management in the Context of Digital Transformation». St. Petersburg, 12-13 April 2024. St. Petersburg: Politekh-press, 2024. P. 54-58.
  13. G. Mavrotas, E. Makryvelios. Combining multiple criteria analysis, mathematical programming and Monte Carlo simulation to tackle uncertainty in Research and Development project portfolio selection: A case study from Greece//European Journal of Operational Research. 2021. Vol. 291. №. 2. P. 794-806.
  14. R. G. Abakumov, E. Yu. Podoskina. Methods for evaluating the effectiveness of innovative projects//Innovative economy: prospects for development and improvement. 2016. № 1 (11). P. 9-13.
  15. A. Yu. Karakulin, I. G. Ershova. Methodological approach to managing innovative potential of personnel//Bulletin of the Academy of knowledge. 2020. № 41 (6). P. 145-150.
  16. I. N. Ivanov, L. V. Orlova, S. I. Ivanov. Innovative potential of personnel as a factor of competitiveness of the organization// Human resources and intellectual resources management in Russia. 2021. Vol. 10. № 2. P. 31-35.
  17. V. A. Polishchuchenko. Features of modeling project team in the implementation of innovative projects//Bulletin of the Academy of knowledge. 2022. № 51 (4). P. 217-224.

 

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