DOI: 10.18503/1995-2732-2024-22-3-160-169
Abstract
Problem Statement (Relevance). The problem of the efficient production program implementation depends on the coherence and correctness of the planning procedure. However, in terms of the public procurement system it is quite difficult for enterprises of the machine building complex to build a clear and definite planning system because of peculiarities of the existing public procurement system. The existing production program planning systems, as a rule, do not factor into the complexity of obtaining public orders, there is no clear procedure how a manger should make decisions on taking part in public procurement under uncertainty. The objective need to develop such an algorithm determines the relevance of this paper. Objectives. The study is aimed at elaborating a flexible planning system for the enterprises of the machine building complex, ensuring their production capacity by orders of the public procurement system. Methods Applied. A logical analysis adapted to this scientific objective is used as the methodological framework of the study. Originality. The analysis of the available literature has shown that the implementation of the planning function is not considered in the context of the public procurement. The scientific originality lies both in the formulation of a scientific problem and an attempt to propose a working planning mechanism necessary for industrial enterprises receiving orders through the public procurement system. A distinctive feature of the proposed planning system is the idea of studying the planning process over a longer time period: from the analysis and forecasting of bidding applications to the preparation of a production program. Flexibility of the proposed planning system is determined by the variability of the choice of making decisions on taking part in public procurement and modeling tactics for a longer time period. Received Results. The paper presents a developed flexible production program planning system and a proposed mechanism for its implementation. Practical Relevance. The paper offers an attempt to respond to the urgent need of industrial enterprises to develop a flexible production program planning system with participation in public procurement.
Keywords
planning, industrial organization, production program, industrial enterprise, production facilities, public procurement
For citation
Tretyakova V.A., Gorlacheva E.N. The Elaboration of the Flexible Production Program Planning System in Terms of the Public Procurement System. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2024, vol. 22, no. 3, pp. 160-169. https://doi.org/10.18503/1995-2732-2024-22-3-160-169
1. Moiseenkova D.A., Smirnov A.N. Development of production planning and control methods. Tekhnika sredstv svyazi [Means of Communication Equipment]. 2023;(4(164)):72-80. (In Russ.)
2. Logunova O.A., Arkulis M.B. An automated operational scheduling system for multi-stage production: a mathematical model and software. Vestnik Cherepovetskogo gosudarstvennogo universiteta [Bulletin of Cherepovets State University]. 2021;(3):18-37. (In Russ.)
3. Gorbachev A.S., Aksenova T.V., Chervyakov D.V., Chernykh Yu.K. Analysis of approaches to establishing a production program of an industrial enterprise. Moskovskiy ekonomicheskiy zhurnal [Moscow Economic Journal]. 2022;7(1):338-346. (In Russ.)
4. Zambrzhitskaya E.S. Conceptual framework for strategic production capacity management. Vestnik Omskogo universiteta. Seriya «Ekonomika» [Herald of Omsk University. Series: Economics]. 2021;19(3):50-60. (In Russ.)
5. Abramov A.A., Shershakov I.S. Simulation of production process and sales of products using an autonomous adaptive control method. Vestnik TGU [Bulletin of Tomsk State University]. 2012;(6):73-77. (In Russ.)
6. Boeva L.M., Kovrizhnykh O.A. Prompt adjustment of production plans using technologies and algorithms of flexible production systems. Ekonomika. Informatika [Economics. Information Technology]. 2021;48(4):802-809. (In Russ.)
7. Gusev E.V., Borodin S.N. Increasing reliability of managerial decisions by two-stage planning and organizing construction. Vestnik YuUrGU. Seriya «Stroitelstvo i arkhitektura» [Bulletin of South Ural State University. Construction and Architecture]. 2023;23(1):57-64. (In Russ.)
8. Charuyskaya M.A. Features of applying in practice methods of current calendar planning for industrial process control. Organizator proizvodstva [Organizer of Production]. 2017;25(2):13-21. (In Russ.)
9. Simchenko O.L., Chazov E.L., Kamdina L.V., Antonov I.A., Vikharev A.D. An integrated information system as a tool for increasing efficiency of an industrial enterprise. Vestnik Astrakhanskogo gosudarstvennogo tekhnicheskogo universiteta. Seriya: Ekonomika [Vestnik of Astrakhan State Technical University. Series: Economics]. 2023;(2):34-42. (In Russ.)
10. Vlasov R.G., Korobov Yu.S., Kuznetsova E.Yu. Applying machine learning technology to predict the timing of production under uncertainty. Vestnik PNIPU: Elektrotekhnika, informatsionnye tekhnologii, sistemy upravleniya [Bulletin of Perm National Research Polytechnic University: Electrical Engineering, Information Technology, Control Systems]. 2021;(37):104-120. (In Russ.)
11. Arkin P.A., Soloveychik K.A., Arkina K.G. Implementation of the methodology of optimization approaches in developing the system of business analysis and forecasting for a machine-building enterprise. Izvestiya Sankt-Peterburgskogo ekonomicheskogo universiteta [News of Saint Petersburg State University of Economics]. 2017;(6):57-67. (In Russ.)
12. Fedoseev S.A., Vozhakov A.V., Gitman M.B. Production control at a tactical level of planning in conditions of fuzzy original information. Problemy upravleniya [Control Sciences]. 2009;(5):36-43. (In Russ.)
13. Titov V.V., Bezmelnitsyn D.A. Integration of strategic planning and operations at the enterprise using optimization modeling. Vestnik NGU. Seriya: Sotsialno-ekonomicheskie nauki [Bulletin of Novosibirsk State University. Series: Social and Economics Sciences]. 2015;15(1):123-130. (In Russ.)
14. Dolzhenko R.A., Dolzhenko S.B., Malyshev D.S. The methodology for increasing organizational efficiency of the enterprise. MIR (Modernizatsiya. Innovatsii. Razvitie) [MIR (Modernization. Innovation. Development)]. 2023;14(1):76-93. (In Russ.)
15. Official website of the Unified Information System for Procurement. Available at: https://zakupki.kontur.ru/0318100067223000163 (Accessed on February 19, 2024).
16. Tretyakova V.A., Gorlacheva E.N. The elaboration of a methodological approach to estimating the probability of winning a competition to plant production capacity utilization. Vestnik Magnitogorskogo gosudarstvennogo tekhnicheskogo universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2024;22(1):122-131. (In Russ.)
17. Federal Law dated April 05, 2013 No. 44-FZ “On a contracting system for procurement of goods, work, services to meet the public and municipal demands”. Available at: http://www.consultant.ru/document/cons_doc_LAW_144624/ (Accessed on February 20, 2024).
18. Federal Law dated July 18, 2011 No. 223-FZ “On procurement of goods, work, services by individual types of legal entities”. Available at: http://www.consultant.ru/document/cons_doc_LAW_116964/ (Accessed on February 20, 2024).
19. Gracheva K.A., Zakharova M.K., Odintsova L.A. et al. Organizatsiya i planirovanie mashinostroitelnogo proizvodstva (proizvodstvennyi menedzhment): uchebnik [Organizing and planning machine building (production management): textbook]. Skvortsov Yu.V., Nekrasova L.A. (Ed.). Moscow: Vysshaya shkola, 2003, 470 p. (In Russ.)
20. Tretyakova V.A. Making decisions on increasing production capacity of the plant based on the analysis of the state procurement market. XII Charnovskie chteniya: sbornik trudov [The 12th Charnovsky Readings: Proceedings]. Moscow: Bauman Moscow State Technical University, Scientific Enterprise Association of Controllers, 2022, pp. 88-97. (In Russ.)
21. Ayrapetova A.G. et al. Organizatsiya i planirovanie proizvodstva: ucheb. posobie [Organizing and planning production: study guide]. Ayrapetova A.G., Korelin V.V. Saint Petersburg: Saint Petersburg State University of Economics, 2012, 235 p. (In Russ.)