Модель разработки расписания проекта противодействия криминальным угрозам профилактического типа
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

The model for developing the schedule for a project to counteract criminal threats of a preventive type

idZhirnov A.A.

UDC УДК 519.85
DOI: 10.26102/2310-6018/2023.43.4.015

  • Abstract
  • List of references
  • About authors

The paper examines the capabilities of the project-based approach applied to the management of preventive activities of criminal investigation units. The problem of constructing a model for developing the schedule of a project to counteract criminal threats of a preventive type is underscored. The features of schedule development problem in this subject area that do not allow using existing models of project schedule development are listed. One of them implies determining types and number of preventive measures which will potentially have a greater impact on the level of criminal threats with consideration to seasonal fluctuations in the levels of these criminal threats and possible reduction in the effectiveness of the activities to curb them. The main parameters of this type of project are defined, which are required for building a schedule development model, making it possible to formulate the problem of developing its schedule. To solve this problem, a mathematical model of integer programming is proposed with the maximization of the objective function characterizing the expected implementation effect of this type of project. The results of a computational example of solving the problem according to the proposed model are presented. Possible limitations in the practical application of this model caused by the computational complexity of problems of this class are noted. Possible approaches to their leveling are proposed, the development of which can be studied in subsequent research. The author suggests that the application of the suggested model for project schedule development will increase the efficiency of such preventive measures.

1. Charkina E.S. Development of the project-based approach in the context of public administration. M.: Institut ekonomiki Rossiiskoi akademii nauk; 2017. 54 p.

2. Goroshko I.V. Digital transformation and project management. In: Digital transformation of prosecutor’s office activities, 30 September 2020, Moscow. Moscow, University of prosecutor's office of the Russian Federation; 2021. p. 23–32.

3. Kozhevnikov S.A. Project management as a tool for enhancing the performance of government executive bodies. Voprosy Territorial'nogo Razvitiya = Territorial development issues. 2016;35(5):2–17. (In Russ.).

4. Zhirnov A.A. The model of stationary placement of detention groups in the management of a project for the suppression of a series of crimes. Vestnik Voronezhskogo instituta MVD Rossii = Vestnik of Voronezh Institute of the Ministry of Interior of Russia. 2023;(2):145–58.

5. Zhirnov A.A. Model and method of forming the project team for countering criminal threats. Modeling, Optimization and Information Technology. 2022;10(4). URL: https://moitvivt.ru/ru/journal/pdf?id=1239. DOI: 10.26102/2310-6018/2022.39.4.004. (In Russ.).

6. Burkov V.N., Burkova I.V., Zaskanov V.G. Metod setevogo programmirovaniya v zadachakh kalendarnogo planirovaniya. Avtomatika i telemekhanika. 2020;(6):17–28. DOI: 10.31857/S0005231020060025. (In Russ.).

7. Anichkin A.S., Semenov V.A. A survey of emerging models and methods of scheduling. Trudy Instituta Sistemnogo Programmirovaniya RAN = Proceedings of the Institute for System Programming of the RAS. 2014;26(3):5–50. DOI: 10.15514/ISPRAS-2014-26(3)-1. (In Russ.).

8. Brucker P. Classification of scheduling problems. Scheduling Algorithms. 2007;1–10. DOI: 10.1007/978-3-540-24804-0_1.

9. Blazewicz J., Lenstra J.K., Kan A.H.G.R. Scheduling subject to resource constraints: classification and complexity. Discrete Applied Mathematics. 1983;5(1):11–24. DOI: 10.1016/0166-218X(83)90012-4.

10. Katoch S., Chauhan S.S., Kumar V. A review on genetic algorithm: past, present, and future. Multimed Tools Appl. 2021;80(5):8091–126. DOI: 10.1007/s11042-020-10139-6.

11. Demeulemeester E., Herroelen W. A branch-and-bound procedure for the multiple resource-constrained project scheduling problem. Management science. 1992;38(12):1803–18.

12. Dalkey N, Helmer O. An experimental application of the Delphi method to the use of experts. Management science. 1963;9(3):458–67.

13. Saati T.L. Decision making with the analytic hierarchy process. Metody Menedzhmenta Kachestva = Methods of Quality Management. 2022;(7):54–60. (In Russ.).

14. Operatsiya “Vnimanie deti” – Ofitsial'nyi sait Administratsii Sankt‑Peterburga. URL: https://www.gov.spb.ru/gov/terr/krasnogvard/news/204001/ (accessed on 16.07.2023.) (In Russ.).

15. Zhirnov A.A. Approach to determining the seasonality of crimes in projects to counter criminal threats. Sovremennye naukoemkie tekhnologii = Modern high technologies. 2022;(7):38–44. (In Russ.).

16. Zhirnov A.A. Programmnoe obespechenie dlya formirovaniya raspisaniya rabot proekta. URL: https://elibrary.ru/item.asp?id=53818771 (accessed on 04.06.2023). (In Russ.).

Zhirnov Andrey Aleksandrovich

ORCID | eLibrary |

Academy of Management of the Ministry of Internal Affairs of Russia

Moscow, the Russian Federation

Keywords: project schedule, anti-criminal threats project, preventive measures, project approach, project management

For citation: Zhirnov A.A. The model for developing the schedule for a project to counteract criminal threats of a preventive type. Modeling, Optimization and Information Technology. 2023;11(4). URL: https://moitvivt.ru/ru/journal/pdf?id=1455 DOI: 10.26102/2310-6018/2023.43.4.015 (In Russ).

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Full text in PDF

Received 10.10.2023

Revised 01.11.2023

Accepted 23.11.2023

Published 31.12.2023