In today's volatile economic environment, industrial enterprises, especially high-tech companies, require tools to enhance the resilience of their
organizational systems. One such tool is the value chain concept, yet the lack of clear methodologies for designing and evaluating the effectiveness of such
chains limits their application. The aim of this study is to develop a model for managing the resilience of an industrial enterprise's organizational system by
analyzing the migration of tokens (projects) through lifecycle stages.
The model incorporates quality requirements for technological value, organizational potential, and activity levels that influence project implementation
speed. The time required to overcome each stage follows an exponential distribution, dependent on quality standards and system activity. The findings show
that increased potential reduces stage transition time, while higher activity accelerates process evolution.
Calculations were conducted for a four-stage trajectory with a time constraint. The results demonstrate that variance in project completion time grows
with the number of stages, while strengthening potential at key phases significantly reduces overall timelines. The model helps optimize management
interventions, assess the sufficiency of internal resources, and evaluate the feasibility of involving external participants.
Practical testing of the model is planned at an additive manufacturing enterprise. The proposed approach enhances organizational resilience in hightech
industries.
Keywords: organizational resilience, value chain, project management, technological value, lifecycle modeling
References
- A. V. Zimovets, T. D. Klimachev. Analysis and assessment of scenarios for Russia's socio-economic development under the sanctions embargo and unpredictable global economic trends//Journal of International Economic Affairs. 2023. № 13 (1). P. 181-202.
- A. P. Barsukov. Razvitiye struktury upravleniya organizatsiyey na osnove formirovaniya tsepochek sozdaniya tsennosti. Diss. kand. ekon. nauk. Rostov-on-Don, 2021. 389 s.
- E. V. Lukin, T. S. Anosova, A. E. Mel′nikov, M. A. Sidorov. Experience in agent-based modeling of interregional value chains//Economic and Social Changes: Facts, Trends, Forecast. 2020. Vol. 13. № 6. P. 101-116.
- V. E. Prokoptsov. Effektivnost′ vzaimodeystviya predprinimatel′skikh struktur v tsepochke sozdaniya tsennosti. Avtoref. kand. ekon. nauk. Saint Petersburg, 2015. 19 s.
- N. L. Udaltsova. Designing a Value Proposition//Creative Economy. 2021. № 15 (4). P. 1427-1446.
- V. V. Glukhov M. A. Pasholikov. Optimization of the partner network of enterprises when developing new products//Scientific and technical bulletins of the Saint Petersburg state polytechnical university. Series: «Economic sciences». 2017. Vol. 10. № 3. P. 133-139.
- V. B. Kondrat′yev, V. V. Popov, G. V. Kedrova. Transforming global value chains: experiences from three industries//World economy and international relations. 2020. Vol. 64. № 3. P. 68-79.
- T. Sergeyevich. Factors and trends in the transformation of value chains in the conditions of robotization: the case of light industry//Newsletter of North-Caucasus Federal University. 2021. № 3. P. 120-128.
- M. V. Vechkasova, A. A. Zubarev, S. Yu. Shevchenko. Sustainable Value Chain as a Tool for the Development of ESG-Models of Petrochemical Industries//The world of new economy. 2023. Vol. 17. № 2. P. 62-69.
- Project Management Institute. 2017. A guide to the project management body of knowledge.
- F. F. Galimulina, N. V. Barsegyan. Application of Mass Service Theory to Economic Systems Optimization Problems//Mathematics. 2024. № 12.
Authors