Digital Value Chain as a Circular Control Architecture
DOI:
https://doi.org/10.55845/joce-2026-41302Keywords:
Digital Value Chain, Short-Loop Circularity, Circular Control Architecture, Digital Manufacturing, Industry 4.0Abstract
The transition from linear production models to circular manufacturing systems requires more than technological recovery capability; it demands lifecycle-wide governance of information and decision-making. Despite extensive research on Digital Twins and Industry 4.0 technologies, the practical implementation of short-loop circularity – maintenance, repair, and remanufacturing – remains constrained by fragmented lifecycle data and recovery uncertainty. Existing literature largely treats digital technologies as isolated enablers rather than as components of an integrated circular control system.
This paper conceptualises the Digital Value Chain (DVC) as a lifecycle-spanning circular control architecture that regulates the transformation of product data into structured circular interventions. Using a conceptual research design based on structured synthesis and abstraction, the study develops a multi-layered framework comprising data acquisition, state estimation, circular intervention, and feedback-to-design layers. Building upon this architecture, hierarchical levels of digital circular enablement – informational, analytical, and decision – are formalised to explain how lifecycle transparency evolves into circular governance.
The framework further introduces an operational decision logic structured around feasibility gates that govern maintenance, repair, and remanufacturing pathways. By reframing short-loop circularity as an information-dependent control problem, this research advances digital manufacturing and circular economy theory beyond technology adoption narratives toward systemic lifecycle regulation. The proposed model provides a conceptual foundation for assessing digital-circular maturity in manufacturing systems and offers a structured basis for future empirical validation and simulation-based modelling.
References
Awan, U., Sroufe, R., & Bozan, K. (2022). Designing Value Chains for Industry 4.0 and a Circular Economy: A Review of the Literature. Sustainability (Switzerland), 14(12). https://doi.org/10.3390/su14127084 DOI: https://doi.org/10.3390/su14127084
Chen, S., & Tang, Z. (2024). The Impact of Enterprise Digital Capability on Supply Chain Digitalization—From the Perspective of Supply Chain Cooperation. Journal of Theoretical and Applied Electronic Commerce Research , 19(4), 3051–3066. https://doi.org/10.3390/jtaer19040147 DOI: https://doi.org/10.3390/jtaer19040147
Chen, Z., & Huang, L. (2021). Digital twins for information-sharing in remanufacturing supply chain: A review. Energy, 220. https://doi.org/10.1016/j.energy.2020.119712 DOI: https://doi.org/10.1016/j.energy.2020.119712
Elbasheer, M., Longo, F., Madden, M. G., Padovano, A., & Ullah, I. (2025). Towards a Digital Twin for Production Planning: Combining Discrete Event Simulation and ML for Flexible Job Shops. Procedia Computer Science, 253, 3078–3087. https://doi.org/10.1016/j.procs.2025.02.032 DOI: https://doi.org/10.1016/j.procs.2025.02.032
Ghoreishi, M. (2023). The Role of Digital Technologies in a Data-driven Circular Business Model: A Systematic Literature Review. Journal of Business Models, 11(1), 78–88. https://doi.org/10.54337/jbm.v11i1.7245 DOI: https://doi.org/10.54337/jbm.v11i1.7245
González-Herbón, R., González-Mateos, G., Rodríguez-Ossorio, J. R., Domínguez, M., Alonso, S., & Fuertes, J. J. (2024). An Approach to Develop Digital Twins in Industry. Sensors, 24(3). https://doi.org/10.3390/s24030998 DOI: https://doi.org/10.3390/s24030998
Jebbor, I., Benmamoun, Z., & Hachimi, H. (2025). Leveraging Digital Twins and Metaverse Technologies for Sustainable Circular Operations: a Comprehensive Literature Review. In Circular Economy and Sustainability. Springer Nature. https://doi.org/10.1007/s43615-025-00615-2 DOI: https://doi.org/10.1007/s43615-025-00615-2
Kang, Z., Catal, C., & Tekinerdogan, B. (2020). Machine learning applications in production lines: A systematic literature review. In Computers and Industrial Engineering (Vol. 149). Elsevier Ltd. https://doi.org/10.1016/j.cie.2020.106773 DOI: https://doi.org/10.1016/j.cie.2020.106773
Lăzăroiu, G., Androniceanu, A., Grecu, I., Grecu, G., & Neguriță, O. (2022). Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing. Oeconomia Copernicana, 13(4), 1047–1080. https://doi.org/10.24136/oc.2022.030 DOI: https://doi.org/10.24136/oc.2022.030
Massari, G. F., Nacchiero, R., & Giannoccaro, I. (2023). Digital technologies for resource loop redesign in circular supply chains: A systematic literature review. Resources, Conservation and Recycling Advances, 20. https://doi.org/10.1016/j.rcradv.2023.200189 DOI: https://doi.org/10.1016/j.rcradv.2023.200189
More, Y. Y., & Buktar, R. B. (2025). Investigating smart manufacturing process implementation in the Indian manufacturing industries using tecnomatix and response surface methodology. International Journal on Interactive Design and Manufacturing, 19(5), 3363–3385. https://doi.org/10.1007/s12008-024-01938-4 DOI: https://doi.org/10.1007/s12008-024-01938-4
Mügge, J., Seegrün, A., Hoyer, T. K., Riedelsheimer, T., & Lindow, K. (2024). Digital Twins within the Circular Economy: Literature Review and Concept Presentation. Sustainability (Switzerland) , 16(7). https://doi.org/10.3390/su16072748 DOI: https://doi.org/10.3390/su16072748
Ojha, R., Shubha Goel, C., Gandhi Proudyogiki Vishwavidyalaya, R., & India, B. M. (2024). Digital Twin-Driven Circular Economy Strategies for Sustainable Asset Management. In International Journal of Multidisciplinary Innovation and Research Methodology (IJMIRM) (Vol. 3, Number 4).
Preut, A., Kopka, J. P., & Clausen, U. (2021). Digital twins for the circular economy. Sustainability (Switzerland), 13(18). https://doi.org/10.3390/su131810467 DOI: https://doi.org/10.3390/su131810467
Redelinghuys, A. J. H., Basson, A. H., & Kruger, K. (2020). A six-layer architecture for the digital twin: a manufacturing case study implementation. Journal of Intelligent Manufacturing, 31(6), 1383–1402. https://doi.org/10.1007/s10845-019-01516-6 DOI: https://doi.org/10.1007/s10845-019-01516-6
Reich, R. H., Alaerts, L., & Van Acker, K. (2024). Towards a service-oriented architecture for information systems in the circular economy. Procedia CIRP, 122, 653–658. https://doi.org/10.1016/j.procir.2024.02.020 DOI: https://doi.org/10.1016/j.procir.2024.02.020
Sajadieh, S. M. M., & Noh, S. Do. (2025). A Review of Digital Twin Integration in Circular Manufacturing for Sustainable Industry Transition. In Sustainability (Switzerland) (Vol. 17, Number 16). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/su17167316 DOI: https://doi.org/10.3390/su17167316
Scholtysik, M., Rasor, A., Petzke, L., Koldewey, C., & Dumitrescu, R. (2025). An integrative perspective on digital technologies and circular economy: A systematic literature review. Proceedings of the Design Society, 5, 541–550. https://doi.org/10.1017/pds.2025.10068 DOI: https://doi.org/10.1017/pds.2025.10068
Szaller, Á., Gallina, V., Gal, B., Gaal, A., & Fries, C. (2023). Quantitative benefits of the digital product passport and data sharing in remanufacturing. Procedia CIRP, 120, 928–933. https://doi.org/10.1016/j.procir.2023.09.102 DOI: https://doi.org/10.1016/j.procir.2023.09.102
Tsolakis, N., Harrington, T. S., & Srai, J. S. (2023). Digital supply network design: a Circular Economy 4.0 decision-making system for real-world challenges. Production Planning and Control, 34(10), 941–966. https://doi.org/10.1080/09537287.2021.1980907 DOI: https://doi.org/10.1080/09537287.2021.1980907
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Copyright (c) 2026 Maksym Karakai, Daniel Bobko, Lucia Knapcikova (Author)

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Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky
Grant numbers VEGA 1/0210/25 -
Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky
Grant numbers 014TUKE-4/2025