Transformation of production planning in integrated structures of mechanical engineering

The article substantiates the transformation of the model of end-to-end production planning in integrated structures of mechanical engineering that unite single and small-scale enterprises. The relevance of the research is determined by the need to respond to the challenges of regionalization of production chains and to achieve technological leadership in the context of rational use of resources. The authors have systematized the factors determining the model of planning: structural and production (first section), dynamic and static (second section). Structural factors are determined by the form of the organization – an integrated structure that involves a multi-level management system, vertical and horizontal integration, inclusion of new business units. Production factors are determined by the features of single and small-scale mechanical engineering: the connectivity of functions throughout the product lifecycle, economic conditions, application of lean manufacturing and digitalization. The authors suggest a transition from sequential to parallel centralized planning to ensure a shorter planning cycle. They have created strategies of integrating new business units (“black box”, “aquarium” and combined) into the planning model. The study has determined the parameters of the tactical plan with a horizon of 18–36 months which takes into account the complete cycle of value creation in a single machine building environment. The authors have justified the necessity of synchronizing production plans with budgeting and functional strategies (sales, purchases, engineering). The solutions suggested make it possible to achieve the global optimum of an integrated structure value chain in the context of external and internal changes, ensuring the balance between the operational autonomy of business units and centralization of strategic management. The results of the study are of high scientific significance for the development of the theory of internal company planning, and of great practical value for reengineering the models of planning of machine building holdings of single and small-scale types of production.

1. Vinslav Yu.B., Dement’ev V.E., Melent’ev A.Yu., Yakutin Yu.V. Development of integrated corporate structures in Russia. Rossiyskiy ekonomicheskiy zhurnal = Russian Economic Journal. 1998;(11-12):27–41. (In Russ.)

2. Dementiev V.E. Value chains facing the challenges of digitalization and economic downturn. Voprosy Ekonomiki. 2021;(3):68–83. (In Russ.). https://doi.org/10.32609/0042-8736-2021-3-68-83

3. Nikitin A.Yu. Integrated forms of industrial enterprises in modern Russia: features of organization and development trends. Accounting and Statistics. 2020;(4(60)):76–85. (In Russ.)

4. Han D. Planung und Kontrolle. Controlling-Konzept. Gabler Verlag Wiesbaden; 1996. 1278 p.

5. Bespalova I.A. Formation of the production program in a vertically integrated company. Discussion. 2012;(6):36–40. (In Russ.).

6. Fomin S.G., Ermakova Zh.A. End-to-end planning competencies for industrial holdings. Vestnik NSUEM. 2025;(4):26–41. (In Russ.). https://doi.org/10.34020/2073-6495-2025-4-026-041

7. Porter M.E. Competitive advantage: creating and sustaining superior performance. New York: Free Press; London: Collier Macmillan; 1985. 592 p.

8. Womack J., Jones D. Lean thinking: banish waste and create wealth in your corporation. New York: Free Press; 2003. 375 p.

9. Goldratt E., Cox D. The goal: a process of ongoing improvement. Great Barrington, MA: North River Press; 2004. 404 p.

10. Шваб К. Четвертая промышленная революция. М.: Эксмо; 2016. 209 с.

11. Kolesnikova O.V., Rupinets I.S., Lelyukhin V.E. Digital twins in operating control automation engineering production. Modern High Technologies. 2021;(6-1):39–44. (In Russ.) https://doi.org/10.17513/snt.38694

12. Fedorova L.A., Kokuytseva T.V. Horizons of planning for digital transformation of rocket and space industry enterprises. Vestnik Altaiskoi akademii ekonomiki i prava. 2022;(8-1):128–135. (In Russ.). https://doi.org/10.17513/vaael.2356

13. Tkachenko N.V., Bardovskiy T.Yu., Kolesnikova O.V. Features of operational planning in enterprises with small-batch and single-unit production. Tendentsii razvitiya nauki i obrazovaniya. 2022;(88-2):155–158. (In Russ.). https://doi.org/10.18411/trnio-08-2022-89

14. Rupinets I.S. Automation of technological flows management in small-batch and single-unit machine building production. Innovations. Science. Education. 2021;(35):756–764. (In Russ.)

15. Kazachenko S.I., Fedorova Ya.S. Improvement of organization and planning products sales in the small-serial and individual machine building enterprise. Vestnik NSUEM. 2022;(1):250–263. (In Russ.). https://doi.org/10.34020/2073-6495-2022-1-250-263

16. Obukhov K.O., Kvyatkovskaya I.Yu., Morozov A.V. Method of genetic programming for solving the problem of operational scheduling of discrete manufacturing. Izvestiya YuFU. Tekhnicheskie nauki. 2024;6(242):42–52.(In Russ.)

17. Wallace T.F., Stahl R.A. Sales & operations planning: the executive’s guide. T. F. Wallace & Company; 2006. 210 p.

18. Гаврилов Д.А. Управление производством на базе стандарта MRP II. 2-е изд. СПб.: Питер; 2005. 416 с.

19. Luo D., Guan Z., Ding L., Fang W., Zhu H. A data-driven methodology for hierarchical production planning with LSTM-Q network-based demand forecast. Symmetry. 2025;17(5):655. https://doi.org/10.3390/sym17050655

20. Cañas H., Mula J., Díaz-Madroñero M., Campuzano-Bolarín F. Strategical and tactical supply chain optimisation for smart production planning and control 4.0. International Journal of Production Research. 2024;63(8):2746–2770. https://doi.org/10.1080/00207543.2024.2412828

21. Yao X., Almatooq N., Askin R.G., Gruber G. Capacity planning and production scheduling integration: improving operational efficiency via detailed modelling. International Journal of Production Research. 2022;60(24):7239–7261. https://doi.org/10.1080/00207543.2022.2028031

22. Saupe J., Fath P., Sayah D., Nickel S. Mixed-integer programming models for mid-term production planning in integrated steel production. International Journal of Production Research. 2025;3119–3134. https://doi.org/10.1080/00207543.2025.2590549