Informatization of construction production organization and operational management

Introduction. The question of the dependence of the intensity of the operational management of construction production on the organization of interaction between key production executors, services and management of a construction enterprise is considered.

Materials and methods. The method of coordinating solutions of current production, support and management tasks based on a unified structure of algorithms of technological processes in the design elevations of the structure, the organization of production activities at the construction site and operational management is presented. The definition of the intensity of operational management as a measure of the effectiveness of the organization of interaction between production, services and management of the enterprise is proposed.

Results. The form of analytical continuous, piecewise linear dependence of the intensity of the operational management of the construction process on the coordination of the values of the parameters of the organization of construction production is obtained: its provision with resources, as well as compliance with the requirements of construction control in a changing production situation. The formula for the intensity of operational management of the implementation of the assembly and laying technological process in specific design elevations of the structure within the established timeframes was obtained. The parameters of the mathematical model of the intensity of operational control, as well as the digital interface for its use, are obtained. Boundary values for the variables of the domain of determination of the permissible values of the parameters of the organization of technological processes, providing measures, material supply, as well as a relative scale for the intensity of operational management are obtained. Graphs of changes in the intensity of operational control during the execution of the technical process in the local design elevations of the structure were obtained and analyzed.

Conclusions. The conclusion is made about the formation of a unified information environment for the organization of construction production during construction and operational management through compatible algorithms, data structures and AWS interfaces based on a mathematical model that coordinates the algorithms for solving production problems and communication of key performers in terms of the parameters of the organization of construction production and operational management.

1. Lapidus A.A. Organizational and technological platform of construction. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2022; 17(4):516-524. DOI: 10.22227/1997-0935.2022.4.516-524. EDN BMHWDX. (rus.).

2. Marcon P., Zezulka F., Vesely I., Szabo Z., Roubal Z., Sajdl O. et al. Communication Technology for Industry 4.0. 2017 Progress in Electromagnetics Research Symposium — Spring (PIERS). 2017. DOI: 10.1109/PIERS.2017.8262021

3. Lapidus A.A., Motylev R.V., Sokolnikov V.V. Development of a methodology underlying a deterministic model of construction work arrangements on the basis of the concept of an organizational and technological platform for construction. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2023; 18(1): 116-131. DOI: 10.22227/1997-0935.2023.1.116-131. EDN IDDMFY. (rus.).

4. Sobolev VV. Information modeling in the development of projects for the organization of construction and projects for the production of works. News of higher educational institutions. North Caucasian region. Series: Engineering sciences. 2008; S1:31-35. EDN VSLIYL. (rus.).

5. Bolotin S.A., Dadar A.Kh., Kotovskaya M. The model of the space-time analogy in the optimization of the renovation order of buildings. Magazine of Civil Engineering. 2013; 7(42):51-57. DOI: 10.5862/MCE.42.7. EDN RHAJKL. (rus.).

6. Sokolnikov VV. Improving the operational planning of construction and installation works and their resource support on the basis of a unified management information environment : author. dis. … cand. tech. sciences. St. Petersburg, 2017; 23. (rus.).

7. Kalachev V.L., Kerimov F.Yu., Akopyan A.N. Methodological bases of improvement of organizational and technological processes of qualitative preparation of communications of industrial structures for operation. Defense Industry Achievements — Russian Scientific and Technical Progress. 2006; 2:82-84. EDN KBBADJ. (rus.).

8. Legostaeva OA. Multifactor models for evaluation of investment projects. Technology and economics of construction. Problems and ways to solve them. Interuniversity collection of scientific papers. 2004; 139-153. (rus.).

9. Fedoseeva T.A. Functional modeling of construction organization in emergency situations. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2013; 10:272-277. EDN RFXIBP. (rus.).

10. Mikhailichenko O.Yu. Organizational reliability of the implementation of construction projects. Proceedings of the Novosibirsk State University of Architecture and Civil Engineering (Sibstrin). 2011; 14(2):11-15. EDN UMNGXF. (rus.).

11. Kuznetsov P.A., Oleinik S.P., Zakharov P.V. Organizational reliability of resource management during the reconstruction of emergency facilities. Housing Construction. 2006; 1:5. EDN KZBBCF. (rus.).

12. Nedavny O.I., Bazilevich S.V., Kuzne-tsov S.M. Assessment of organizational and technological reliability of project construction. Systems. Methods. Technologies. 2013; 2(18):137-141. EDN RTJHHZ. (rus.).

13. Abdullaev G.I., Velichkin V.Z., Soldatenko T.N. Improving the organizational and technological reliability of the construction of linear-extended structures by the method of predicting failures. Magazine of Civil Engineering. 2013; 3(38):43-50. DOI: 10.5862/MCE.38.6. EDN PZETTH. (rus.).

14. Kuznetsov S.M., Maslov I.A., Suvorov A.D., Yachmenkov S.N. Assessment of reliability of organizational and technological solutions in construction. Transport Construction. 2007; 1:26-27. EDN UWZCGJ. (rus.).

15. Abdulayev G.I., Velichkin V.Z. Some features of reliability evaluation of building flows. Magazine of Civil Engineering. 2009; 4(6):53-54. EDN NBMZFX. (rus.).

16. Karakozova I.V., Pavlov A.S. Creation of a network model on the basis of a universal sequence of construction works. Construction: Science and Education. 2020; 10(3):1-16. DOI: 10.22227/2305-5502.2020.3.1 (rus.).

17. Gusakov A.A., Ginzburg A.V., Veremeenko S.A., Monfred Yu.B., Prykin B.V., Yarovenko S.M. Organizational and technological reliability of construction. Moscow, A/O “Vneshtorgizdat”, 1994; 472. EDN TOCFEF (rus.).

18. Qian F., Zhong W., Du W. Fundamental theories and key technologies for smart and optimal manufacturing in the process industry. Engineering. 2017; 3(2):154-160. DOI: 10.1016/J. ENG.2017.02.011

19. Hagiu A., Wright J. Multi-sided platforms. International Journal of Industrial Organization. 2015; 43:162-174. DOI: 10.2139/ssrn.2794582

20. Saati T.L. Decision making under dependencies and feedbacks: analytical networks. Moscow, LKI, 2008; 360. (rus.).

21. Shaabany G., Grimm M., Anderl R. Secure information model for data marketplaces enabling global distributed manufacturing. Procedia CIRP. 2016; 50:360-365. DOI: 10.1016/j.procir.2016.05.003

22. Atkinson R. Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria. International Journal of Project Management. 1999; 17(6):337-342. DOI: 10.1016/s0263-7863(98)00069-6

23. Gil N., Tether B.S. Project risk management and design flexibility: Analysing a case and conditions of complementarity. Research Policy. 2011; 40(3):415-428. DOI: 10.1016/j.respol.2010.10.011

24. Batson R. Project risk identification methods for construction planning and execution. Construction Research Congress 2009. 2009. DOI: 10.1061/41020(339)76

25. Anderson S., Molenaar K., Schexnayder C. Right-of-way methods and tools to control project cost escalation. NCHRP Synthesis 132, Transportation Research Board National Academies. 2009.

26. El-Rayes K., Moselhi O. Optimizing resource utilization for repetitive construction projects. Journal of Construction Engineering and Management. 2001; 127(1):18-27. DOI: 10.1061/(asce)0733-9364(2001)127:1(18)

27. Sokolnikov V., Osipenkova I., Stupakova O., Motylev R., Nurgalina R. Information models of structures and modeling in construction. E3S Web of Conferences. 2021; 274:09016. DOI: 10.1051/e3sconf/202127409016

28. Kuzhin M., Zhadanovsky B., Kudryashov M., Granilshchikova E. The organizational process in construction using information modeling technologies. E3S Web of Conferences. 2019; 91:08032. DOI: 10.1051/e3sconf/20199108032

29. Sokolnikov V.V. Mathematical formulation of the problem of modeling the flow organization of works in construction. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2020; 15(3):443-451. DOI: 10.22227/1997-0935.2020.3.443-451. EDN ZQTLBY (rus.).

30. Sokolnikov V.V. Modeling of work organization basedon the concept of physical construction stream. Bulletin of Civil Engineers. 2019; 1(72):94-99. DOI: 10.23968/1999-5571-2019-16-1-94-99. EDN KNHGMN (rus.).

31. Kalyuzhnyuk M.M., Sandan RN. Structural classification of elements of construction processes. Bulletin of Civil Engineers. 2008; 1(14):46-52. EDN JVFRTN (rus.).

32. Kalyuzhnyuk M.M., Kalyuzhnyuk A.V. Organization of construction processes: the fundamentals of the theory of structural and functional modeling. Bulletin of Civil Engineers. 2015; 3(50):131-139. EDN TZHMMT (rus.).