PRODUCTION SETUP
Original Paper
UDC 658.5:622.3 © M.A. Altbregen, A.L. Chupin, D.E. Morkovkin, A.Yu. Mikhaylov, S.V. Kharchenko, 2023
ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2023, № 9, pp. 34-39
DOI: http://dx.doi.org/10.18796/0041-5790-2023-9-34-39
Title
DEVELOPMENT OF A SYSTEM OF SHEDULING AND NETWORK PLANNING OF PROJECTS OF POWER INDUSTRY ENTERPRISES: THE EXAMPLE OF «ATOMENERGOPROEKT» JSC
Authors
Altbregen M.A.1, Chupin A.L.2, Morkovkin D.E.3, Mikhaylov A.Yu.3, Kharchenko S.V.3
Atomenergoproekt» JSC, Moscow, 107996, Russian Federation
RUDN University, Moscow, 117198, Russian Federation
Financial University under the Government of the Russian Federation, Moscow, 125993, Russian Federation
Authors Information
Altbregen M.A., Head of Time and Network Scheduling Division
Chupin A.L., Head of the department of research division, e-mail: chupin-al@rudn.ru
Morkovkin D.E., PhD (Economic), Associate Professor
Mikhaylov A.Yu., PhD (Economic), Associate Professor
Kharchenko S.V., PhD (Economic), Associate Professor
Abstract
Against the background of the development of information technology and the Internet of Things, traditional planning methods often ignore production laws and the knowledge hidden in production data. In today's fiercely competitive global market, coal industry enterprises are faced with more stringent requirements to increase production efficiency, reduce resource consumption and reduce production costs. The core of economic sustainability of coal industry enterprises becomes the systems of scheduling and network planning. In this regard, the need for economic development is impossible without the use of information technology. Thus, the experience of using the integrated design management system of «Atomenergoproekt» JSC gives an opportunity to significantly improve the efficiency of coal industry enterprises, namely, to significantly increase the level of decision-making and ensure the effective functioning of the technological process. Efficiency of optimization and efficiency of decision-making are two contradictory goals, which are necessary for effective operation of industrial enterprises in general. In this regard, the authors have proposed and described a methodology for calendar-network planning of projects of coal industry enterprises, which includes the results of mathematical evaluation of the criteria and constraints. The authors believe that the satisfaction of these criteria and constraints will improve the efficiency of coal industry enterprises under international sanctions.
Keywords
Economic and mathematical methods, Modeling, information systems, Management decisions, Intelligent systems, Coal industry, Planning.
References
1. Voskresenskaya O.V. Theoretical aspects of schedule-network planning in an industrial enterprise. E-Scio, 2022, (10), pp. 321-326. (In Russ.).
2. Kovshikova G.A. & Kosheleva A.V. Optimization of business processes in the system of logistics management of an industrial enterprise. Drucker Bulletin, 2022, (6), pp. 114-122. (In Russ.).
3. Anisimov V.G., Anisimov E.G., Veselko A.A. & Pak A.Yu. Assessment of technological processes efficiency at the enterprises of the machine-building industry. Journal of Technical Research, 2022, Vol. 8, (1), pp. 30-35. (In Russ.).
4. Saurenko T.N. Optimization of parametric series of enterprise products taking into account the randomness of market demand. Journal of Management Research, 2022, Vol. 8, (1), pp. 10-16. (In Russ.).
5. Anisimov V.G., Anisimov E.G., Bogoeva E.M., Veselko A.A. & Sysuev S.Yu. Model and Method of Complex Standardization of Complex Technical Systems. Journal of Technical Research, 2022, Vol. 8, (2), pp. 20-29. (In Russ.).
6. Rostova O., Anisimov V., Anisimov E., Saurenko T., Peschannikova E. & Shmeleva A. Methodological approach to the formation of the company's portfolio of orders. Lecture Notes in Networks and Systems, 2022, (387), pp. 381-390.
7. Chupin A., Chupina Z., Pavlova A., Skudalova T. & Andreeva E. Innovation and IT Technologies as the Main Element of a Dynamic Business Model. Lecture Notes in Networks and Systems, 2023, (509), pp. 1123-1132.
8. Rizvanov D.A. & Chernyshev E.C. Model of intelligent decision-making support in the management of production resources . Modern Science-Intensive Technologies, 2022, (12-1), pp. 46-51. (In Russ.).
9. Chursin A.A. & Kokuytseva T.V. Development of Methods for Assessing the Digital Maturity of Organizations Considering the Regional Aspect. Economy of Region, 2022, (18), pp. 450-463.
10. Tyulin A.E., Chursin A.A., Yudin A.V. & Grosheva P.Y. Approaches for Creating a Digital Ecosystem of an Industrial Holding. Communications in Computer and Information Science, 2022, (1552 CCIS), pp. 433-444.
Acknowledgements
The research was financially supported by the grant of the Russian Science Foundation No.23-41-10001 ‘Mathematical models and computer technologies of scheduling production and power generation in conditions economic uncertainty’, https://rscf.ru/project/23-41-10001
For citation
Altbregen M.A., Chupin A.L., Morkovkin D.E., Mikhaylov A.Yu. & Kharchenko S.V.Development of a system of sheduling and network planning of projects of power industry enterprises: the example of «Atomenergoproekt» JSC. Ugol’, 2023, (9), pp. 34-39. (In Russ.). DOI: 10.18796/0041-5790-2023-9-34-39.
Paper info
Received March 20, 2023
Reviewed August 14, 2023
Accepted August 25, 2023
