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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Implementation of numerical methods for assessing the probabilistic-temporal characteristics of a set of operations in the form of a problem-oriented software package

idOleinikova S.A., Selishchev I.A.,  Nedikova T.N. 

UDC 004.413
DOI: 10.26102/2310-6018/2022.37.2.012

  • Abstract
  • List of references
  • About authors

The object of research in the article is a project represented by a set of sequential-parallel operations with a random duration. A feature of the project class under study is the dependence of the execution time of any operation on the executive assigned to it. The goal is to assess the probabilistic and temporal characteristics of the project, which include, first of all, the duration of service. Due to the stochastic nature of operation duration, this characteristic will be random. Based on this, it is required to estimate the mathematical expectation of the investigated random variable in the first instance. In addition, the variance of the random variable, its distribution law, and the ability to estimate the probability of project completion in a given timeframe (i.e., the probability of the investigated random variable falling within a given timeframe) pose an interest. To achieve this goal, the article presents a software package consisting of an application for assessing the parameters of individual operations, a simulation system for assessing the duration of the entire project and a database that stores information about the required entities. All components of the software package are implemented using the Java language; MySql was chosen as the DBMS. As a result, it became possible to evaluate the parameters of individual operations, transfer them to the simulation environment for conducting an experiment to assess the necessary characteristics of the duration of the entire project and save the obtained values in the database for their possible further use.

1. Ahuja H. 1. Network methods of management in design and production. M.: Nauka; 1979. 640 p. (In Russ.)

2. Golenko-Ginzburg D.I. Stochastic models of planning and development management. Monograph. Voronezh: Scientific book; 2011. 284 p. (In Russ.)

3. Oleinikova S.A. Mathematical models and methods for optimizing the functioning of complex service systems with stochastic parameters. Diss. doct. tech. sciences. Voronezh; 2016. 354 p. (In Russ.)

4. Kofman A. Debazey G. Network planning methods and their application. M.: Progress; 1968. 182 p. (In Russ.)

5. Selishchev I.A., Oleinikova S.A. Interpretation of the results of a computational experiment to assess the probabilistic-temporal characteristics of the model using the apparatus of simulation. Scientific support of the Voronezh region. Collection of works of the winners of the competition of scientific research works of students and postgraduates of VSTU in priority areas of development of science and technology. Voronezh. 2021;45–49. (In Russ.)

6. Oleinikova S.A., Selishchev I.A., Kravets O.J., Rahman P.A., Aksenov I.A. Simulation model for calculating the probabilistic and temporal characteristics of the project and the risks of its untimely completion. International Journal on Information Technologies & Security. 2021;13(2):55–62.

7. Thai P.T., Nguyen S.L., Oleinikova S.A., Kravets O.J. Quality Management optimization of job distribution for multi-stage production with unequal servers. Quality – Access to Success. 2020;21(178):39–42.

8. Selishchev I.A., Oleinikova S.A. Designing a database structure for software that optimizes the process of functioning of stochastic multiphase systems. Kibernetika i programmirovaniye = Cybernetics and Programming. 2020;2:42–55. Available at: https://www.nbpublish.com/library_read_article.php?id=34099. DOI: 10.25136/2644-5522.2020.2.34099. (In Russ.)

9. Borshchev A. The Big Book of Simulation Modeling. Multimethod Modeling with AnyLogic 6. AnyLogic.ru. Available at: https://www.anylogic.ru/resources/books/big-book-of-simulation-modeling/. (In Russ.)

10. Vendrov A.M. Software design for economic information systems. M.: Finance and statistics; 2002. 352 p. (In Russ.)

Oleinikova Svetlana Alexandrovna
Doctor of Technical Sciences, assistant professor

WoS | ORCID | eLibrary |

Voronezh State Technical University

Voronezh, Russia

Selishchev Ivan Alexeevich

Voronezh State Technical University

Voronezh, Russia

Nedikova Tatyana Nikolaevna
candidate of technical sciences, Senior Lecturer

Voronezh State Technical University

Voronezh, Russia

Keywords: probabilistic-temporal characteristics, sequential-parallel operations, numerical method, software package, simulation modeling

For citation: Oleinikova S.A., Selishchev I.A., Nedikova T.N. Implementation of numerical methods for assessing the probabilistic-temporal characteristics of a set of operations in the form of a problem-oriented software package. Modeling, Optimization and Information Technology. 2022;10(2). URL: https://moitvivt.ru/ru/journal/pdf?id=1130 DOI: 10.26102/2310-6018/2022.37.2.012 (In Russ).

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Full text in PDF

Received 17.01.2022

Revised 29.04.2022

Accepted 23.05.2022

Published 30.06.2022