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System analysis and mathematical regulation of the business process of accounting costs on construction of oil and gas facilities

https://doi.org/10.31660/0445-0108-2019-1-82-89

Abstract

The article is devoted to the mathematical foundations of creating a conceptual optimal mathematical model of the business process for developing estimate documentation for the construction and reconstruction of oil and gas facilities. Existing scientific and practical work on the subject of mathematical regulation of business processes is only a descriptive nature of business process management and cannot solve the set research problems of improving the performance of design and cost accounting. Issues such as the presentation of the project development process for the construction in the form of a complex system, and its study in a more detailed form are touched upon. Business process management is presented in the form of applying a systems approach, mathematical regulation and improvement of the strategy of functioning and presentation of the business process under study in the form of an optimization model consisting of separate interconnected process units. Also, the model describes the main points of its optimization and recommendations for improving the model. The resulting concepts and model should satisfy the current state of the process being studied the cost of building oil and gas facilities, taking into account the uncertainties of the future.

About the Author

Ruslan I. Khamidullin
Industrial University of Tyumen
Russian Federation
Postgraduate, Assistant at the Department of Cybernetic Systems


References

1. Хамидуллин Р. И., Сенкевич Л. Б. О необходимости математического моделирования бизнес-процесса сметных расчетов при строительстве нефтегазовых объектов // Известия высших учебных заведений. Нефть и газ. – 2017. – № 6. – С. 139–145. DOI: 10.31660/0445-0108-2017-6-139-145

2. Хамидуллин Р. И. Основные концепции разработки математической модели бизнес-процесса сметных расчетов строительства вспомогательных нефтегазовых объектов // Известия высших учебных заведений. Нефть и газ. – 2018. – № 3. – С. 102–108. DOI: 10.31660/0445-0108-2018-3-102-107

3. Hamidullin R. I. Development peculiarities of mathematical business processes activity model forestimated design and construction organizations // Новые технологии — нефтегазовому региону: материалы Междунар. науч.-практ. конф. студентов, аспирантов и молодых ученых. – Тюмень, 2017. – С. 414–415.

4. Хамидуллин Р. И., Сенкевич Л. Б. Автоматизация работы инженера-сметчика строительно-сметного отдела ООО «ТоболСтройСервис» // Фундаментальные исследования. – 2015. – № 11–1. – С. 110–114.

5. Khamidullin R. I. Basic concepts of formalizing the business process of design and estimate calculations in the construction and repair of oil and gas facilities // IOP Conf. Series: Earth and Environmental Science 181 (2018) 012036. DOI: 10.1088/1755-1315/181/1/012036

6. Khamidullin R. I. Milestones of mathematical model for business process management related to cost estimate documentation in petroleum industry // IOP Conf. Series: Journal of Physics: Conf. Series 1015 (2018) 032053. DOI: 10.1088/1742-6596/1015/3/032053

7. Мадера А. Г. Математическое моделирование и оптимизация бизнес-процессов на основе комплексного критерия «шансы — риски» // Российский журнал менеджмента. – 2015. – T. 13, № 4. – С. 51–68.

8. Концепция создания линейки программных продуктов для оценки затрат на разных стадиях реализации нефтегазовых проектов / С. В. Чижиков [и др.] // Нефтяное хозяйство. – 2014. – № 9. – С. 20–23.

9. A recommendation system for predicting risks across multiple business process instances / R. Conforti [et al.] // Decision Support Systems. – 2015. – Vol. 69. – P. 1–19. DOI: 10.1016/j.dss.2014.10.006

10. Tiwari A., Vergidis K., Turner C. J. Evolutionary multi-objective optimisation of business processes // Eds. X. Z. Gao, A. Gaspar-Cunha, M. Köppen, G. Schaefer, J Wang // Advances in Intelligent and Soft Computing: Soft Computing in Industrial Applications. – Heidelberg: Springer. – P. 293–301.

11. Sawicki P., Sawicka H. Logistics process improvement using simulation and stochastic multiple criteria decision aiding // Procedia Social and Behavioral Sciences. – 2014. – Vol. 111. – P. 213–223. DOI: 10.1016/j.sbspro.2014.01.054

12. Business process mining: From theory to practice / C. J. Turner [et al.] // Business Process Management Journal. – 2012. – Vol. 18 (3). – P. 493–512.

13. Управление стратегическим развитием жизнеспособных экономических систем: модели, механизмы и инструменты: моногр. / Т. Ю. Беликова [и др.]. – Т. 2: Прикладные аспекты моделирования процессов управления стратегическим развитием жизнеспособных экономических систем. – Донецк, 2012. – 381 с.

14. Merrow E. Oil and Gas Industry Megaprojects: Our Recent Track Record // Oil and Gas Facilities. – 2012. – Vol. 1, Issue 2. – P. 38–42. DOI: 10.2118/153695-PA

15. Vergidis K., Tiwari A., Majeed B. Business process analysis and optimization: beyond reengineering // IEEE Transactions on Systems, Man, Cybernatics – Part C: Application and Reviews. – 2008. – Vol. 38, Issue 1. – P. 69–82. DOI: 10.1109/TSMCC.2007.905812


Review

For citations:


Khamidullin R.I. System analysis and mathematical regulation of the business process of accounting costs on construction of oil and gas facilities. Oil and Gas Studies. 2019;(1):82-89. (In Russ.) https://doi.org/10.31660/0445-0108-2019-1-82-89

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ISSN 0445-0108 (Print)