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Economic Analysis: Theory and Practice
 

Model-based project management using artificial intelligence tools

Vol. 23, Iss. 1, JANUARY 2024

Received: 7 December 2023

Received in revised form: 10 January 2024

Accepted: 17 January 2024

Available online: 30 January 2024

Subject Heading: Innovation

JEL Classification: O31

Pages: 40–58

https://doi.org/10.24891/ea.23.1.40

Viktor V. MAKRUSEV Russian Customs Academy, Lyubertsy, Moscow Oblast, Russian Federation
makrusev@mail.ru

https://orcid.org/0000-0002-6899-4705

Danil S. GUSEV Russian Customs Academy, Lyubertsy, Moscow Oblast, Russian Federation
ds.gusev20@customs-academy.ru

ORCID id: not available

Subject. The article addresses project management issues.
Objectives. The aim is to reveal the main directions of development of the theory and practice of model-based project management, using artificial intelligence tools.
Methods. The study rests on the methodology of systems analysis and process-oriented approach, employs methods of modeling and comparative analysis.
Results. We define the current technology of decision-making to minimize risk, describe ideas of creating a decision support system with elements of artificial intelligence, present an experiment on implementing a model of operational monitoring of risk objects at the stage of documentary customs control. The paper identifies expedient priority organizational solutions in the customs risk management system, provides proposals on the structure of the customs risk service, describes the concept of hybrid intelligence, implemented on the basis of a neural network, to be integrated in the process of collective decision-making. We present artificial intelligence technologies used in the practice of project management, disclose their advantages and disadvantages.
Conclusions. The decision-making process is described as a process of structuring the vision of strategic perspective by the head and/or experts, the formation and adaptation of knowledge to real conditions of customs construction, or as a process of project management. The paper introduces the concept and reveals the technology of collective work of experts (technology of expert-analytical modeling) during the formulation of problems and preparation of managerial, methodological, technological, and other solutions. Within the technology, a multi-valued logic of phased transformation of experts' vision into a new system of customs organization, with a step-by-step assessment of generated situational alternatives is built on the formed set of conditions.

Keywords: State strategic planning system, project management, customs administration, artificial intelligence, intelligent decision support systems

References:

  1. Leonov A.V. [Organization of project management in public authorities]. Molodoi uchenyi = Young Scientist, 2022, no. 14, pp. 101–104. URL: Link (In Russ.)
  2. Makrusev V.V., Pchelintsev N.V. Upravlenie razvitiem tamozhennykh organov Rossii: monografiya [Management of the development of the customs authorities of Russia: a monograph]. Moscow, Russian Customs Academy Publ., 2013, 143 p.
  3. Makrusev V.V., Boikova M.V., Yusupova S.Ya. et al. Tamozhennoe administrirovanie: ideologiya, metodologiya i tekhnologiya: monografiya [Customs administration: Ideology, methodology and technology: a monograph]. Moscow, Russian Customs Academy Publ., 2017, 188 p.
  4. Nöllke M. Uchimsya prinimat' resheniya. Bystro, tochno, pravil'no [Entscheidungen treffen. Schnell, sicher, richtig]. Moscow, Omega-L, 2006, 127 p.
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  6. Vasil'ev A.P., Abramov A.Kh. [Artificial intelligence based on neural networks]. Academy, 2018, no. 5, pp. 15–17. URL: Link (In Russ.)
  7. Paukov A.A., Makrusev V.V. Sistema transgranichnoi zashchity intellektual'noi sobstvennosti: monografiya [The system of cross-border protection of intellectual property: a monograph]. Moscow, Russian Customs Academy Publ., 2005, 184 p.

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