A digitális ikrek hatása a kis- és középvállalkozások fenntarthatósági teljesítményére: szisztematikus szakirodalmi áttekintés
DOI:
https://doi.org/10.17836/EC.2025.1.006Kulcsszavak:
Digitális ikrek, fenntarthatóság, KKV-k, szisztematikus szakirodalmi áttekintésAbsztrakt
A digitális ikrek hatása a kis- és középvállalkozások fenntarthatósági teljesítményére: szisztematikus szakirodalmi áttekintés | Ez a szisztematikus szakirodalmi áttekintés (SLR) a digitális ikrek (DT) hatását vizsgálja a fenntarthatóság környezeti, gazdasági és társadalmi dimenzióira a kis- és középvállalkozásokban (kkv-k). A globális vállalkozások mintegy 90%-át kitevő kkv-k a korlátozott erőforrások miatt kihívásokkal szembesülnek a fenntartható gyakorlatok átvételében. A DT-k, mint a fizikai rendszerek virtuális reprezentációi, lehetőséget nyújtanak a kkv-k számára a folyamatok optimalizálására és a fenntarthatósági célok elérésére. A PRISMA módszertan alkalmazásával strukturált keresést végeztünk, amely a 2015 és 2024 között megjelent, lektorált cikkekre irányult. Az eredmények azt mutatják, hogy a DT-k lehetővé teszik a költségcsökkentést, az erőforráshatékonyság javítását és a munkakörülmények javítását. A magas kezdeti költségek és a technikai összetettség azonban jelentős akadályokat jelentenek a kkv-k számára. Az áttekintés rávilágít az ökológiai előnyökre és a társadalmi-gazdasági hatásokra vonatkozó hosszú távú tanulmányok hiányosságaira is. A tanulmány arra a következtetésre jut, hogy bár a DT-k jelentős lehetőségeket kínálnak a kkv-k fenntarthatóságának előmozdítására, a stratégiai végrehajtás és a támogatási mechanizmusok elengedhetetlenek a meglévő kihívások leküzdéséhez.
JEL-kód: L25, L26, L60, M15, O33, Q56
Hivatkozások
Altintop, Ö. C. (2020). Wie die Digitalisierung Nachhaltigkeit in KMU unterstützen kann. Mittelstand 4.0-Kompetenzzentrum Kommunikation. https://tinyurl.com/4p9ph4nw
Baah, C., Opoku-Agyeman, D., Acquah, I. S. K., Agyabeng-Mensah, Y., Afum, E., Faibil, D., & Abdoulaye, F. A. M. (2021). Examining the correlations between stakeholder pressures, green production practices, firm reputation, environmental and financial per-formance: Evidence from manufacturing SMEs. Sustainable Production and Con-sumption, 27, 100–114. https://doi.org/10.1016/j.spc.2020.10.015
Bär, M., & Colombo, A. (2023). Engineering ICPS for Small and Medium Enterprises. A Novel DIN SPEC 91345 Compliant Digitalization Approach. IEEE Transactions on In-dustrial Cyber-Physical Systems, PP, 1–16. https://doi.org/10.1109/TICPS.2023.3328840
Bathaei, A., & Štreimikienė, D. (2023). A Systematic Review of Agricultural Sustainability Indicators. Agriculture, 13(2), 241. https://doi.org/10.3390/agriculture13020241
Bi, Z. M., Mikkola, A., Mula, R., & Luo, C. (2023). Virtual Verification and Validation for Sustainable Manufacturing. 2023 IEEE 3rd International Conference on Industrial Elect-ronics for Sustainable Energy Systems (IESES), 1–6. https://doi.org/10.1109/IESES53571.2023.10253724
Bigliardi, B., & Galati, F. (2017). An Open Innovation Model for SMEs. In Researching Open Innovation in SMEs. World Scientific, 71–113 https://doi.org/10.1142/9789813230972_0003
Borghesi, A., Di Modica, G., Bellavista, P., Gowtham, V., Willner, A., Nehls, D., Kintzler, F., Cejka, S., Tisbeni, S. R., Costantini, A., Galletti, M., Antonacci, M., & Ahouangonou, J. C. (2021). IoTwins: Design and Implementation of a Platform for the Management of Digital Twins in Industrial Scenarios. 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 625–633. https://doi.org/10.1109/CCGrid51090.2021.00075
Bundesnetzagentur. (2024). Bundesnetzagentur – Best-Practice Übersicht. https://tinyurl.com/4vcjpxce
Caccamo, C., Pedrazzoli, P., Eleftheriadis, R., & Chiara Magnanini, M. (2022). Using the Process Digital Twin as a tool for companies to evaluate the Return on Investment of manufacturing automation. Procedia CIRP, 107, 724–728. https://doi.org/10.1016/j.procir.2022.05.052
Calogirou, C., Sørensen, S. Y., Larsen, P. B., Pedersen, K., Kristiansen, K. R., Mogensen, J., Alexopoulou, S., & Papageorgiou, M. (2010). SMEs and the environment in the Euro-pean Union. PLANET SA and Danish Technological Institute. https://tinyurl.com/5hcmauvb
Chen, Z., Chowhury, S., Davidson, A., Dey, P. K., Geiger, A. M., Long, S., Mar, P., Mohr, C., Binte Rajah, R., von Schlenk-Barnsdorf, L., & Woeffray, O. (2022). Future Readiness of SMEs and Mid-Sized Companies: A Year On [Insight Report]. World Economic Forum In collaboration with the National University of Singapore. https://tinyurl.com/92x9zbk5
De Felice, F. D., Luca, C. D., Baffo, I., Travaglioni, M., & Forcina, A. (2022). Simulation optimization for a flexible production process under uncertain factors. https://tinyurl.com/4v9cf4ty
Deniša, M., Ude, A., Simonič, M., Kaarlela, T., Pitkäaho, T., Pieskä, S., Arents, J., Judvaitis, J., Ozols, K., Raj, L., Czmerk, A., Dianatfar, M., Latokartano, J., Schmidt, P. A., Mauers-berger, A., Singer, A., Arnarson, H., Shu, B., Dimosthenopoulos, D., … Lanz, M. (2023). Technology Modules Providing Solutions for Agile Manufacturing. Machines, 11(9), Ar-ticle 9. https://doi.org/10.3390/machines11090877
Dutta, G., Kumar, R., Sindhwani, R., & Singh, R. K. (2021). Adopting Shop Floor Digitali-zation in Indian Manufacturing SMEs—A Transformational Study. In R. K. Phanden, K. Mathiyazhagan, R. Kumar, & J. Paulo Davim (Eds.), Advances in Industrial and Pro-duction Engineering, 599–611. Springer. https://doi.org/10.1007/978-981-33-4320-7_53
Dyllick, T., & Hockerts, K. (2002). Beyond the Business Case for Corporate Sustainability. University of St.Gallen, 11. https://doi.org/10.1002/bse.323
Elkington, J. (2004). Enter the Triple Bottom Line. In The Triple Bottom Line – Does It All Add Up. https://doi.org/10.4324/9781849773348
Ernst, R.-A., Gerken, M., Hack, A., & Hülsbeck, M. (2022). SMES’ reluctance to embrace corporate sustainability: The effect of stakeholder pressure on self-determination and the role of social proximity. Journal of Cleaner Production, 335, 130273. https://doi.org/10.1016/j.jclepro.2021.130273
European Commission. (2003). COMMISSION RECOMMENDATION of 6 May 2003 concerning the definition of micro, small and medium-sized enterprises. Official Journal of the European Union, (2003/361/EC). https://tinyurl.com/ycp68zjt
European DIGITAL SME Alliance. (2024). DIGITAL SME Priority—Sustainability. Euro-pean DIGITAL SME Alliance. https://tinyurl.com/muxdps2w
Feak, C., & Swales, J. M. (2009). Telling a Research Story: Writing a Literature Review (2nd ed.). University of Michigan Press. https://doi.org/10.3998/mpub.309338
Fink, A. (2010). Conducting Research Literature Reviews: From the Internet to Paper. SAGE.
Florescu, A., & Barabas, S. (2022). Development Trends of Production Systems through the Integration of Lean Management and Industry 4.0. Applied Sciences, 12(10), Article 10. https://doi.org/10.3390/app12104885
García, Á., Bregon, A., & Martínez-Prieto, M. A. (2024). Digital Twin Learning Ecosystem: A cyber–physical framework to integrate human-machine knowledge in traditional ma-nufacturing. Internet of Things, 25, 101094. https://doi.org/10.1016/j.iot.2024.101094
Govindasamy, A., Rajeswari, D., Srinivasan, R., & Arivarasi, A. (2024). Cost-Effective di-gital twin Design for entertainment Enterprise’s through Machine learning. Entertainment Computing, 50, 100648. https://doi.org/10.1016/j.entcom.2024.100648
Grant, M. J., & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information & Libraries Journal, 26(2), 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x
Grau, M., Korol, W., Tzenberger, J., & Stjepandić, J. (2021). Automated Generation of a Digital Twin of a Process Plant by Using 3D Scan and Artificial Intelligence. In Transdis-ciplinary Engineering for Resilience: Responding to System Disruptions, 93–102. IOS Press. https://doi.org/10.3233/ATDE210087
Grieves, M., & Vickers, J. (2017). Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems. In F.-J. Kahlen, S. Flumerfelt, & A. Alves (Eds.), Transdisciplinary Perspectives on Complex Systems: New Findings and Approac-hes, 85–113. Springer International Publishing. https://doi.org/10.1007/978-3-319-38756-7_4
Grieves, M. W. (2023). Digital Twins: Past, Present, and Future. In N. Crespi, A. T. Drobot, & R. Minerva (Eds.), The Digital Twin, 97–121. Springer International Publishing. https://doi.org/10.1007/978-3-031-21343-4_4
Guo, D., Zhang, T., Rong, Y., Huang, G. Q., & Srai, J. S. (2023). Lightweight digital twin as a service (LDTaaS): A cost-efficient digital transformation approach for manufacturing SMEs. Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), 2023, 28–33. https://doi.org/10.1049/icp.2023.1731
Hansen, D., Malik, A. A., & Bilberg, A. (2019). SMEs can touch Industry 4.0 in the Smart Learning Factory. Procedia Manufacturing, 31, 219–224. https://doi.org/10.1016/j.promfg.2019.03.035
Harrigan, S., Coleman, S., Kerr, D., Quinn, J., Lindsay, L., & Madden, K. (2023, March 9). Cloud-based Learning for Robot Control. https://doi.org/10.1109/ICIT58465.2023.10143103
Huayanca Quispe, S. D., Moza Villalobos, K. M., & Rodriguez Carrillo, S. A. (2024). Tech-nologies of Industry 4.0 for the next fashion revolution: A systematic literature review. Proceedings of the 22nd LACCEI International Multi-Conference for Engineering, Edu-cation and Technology (LACCEI 2024): “Sustainable Engineering for a Diverse, Equ-itable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0.” 22nd LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2024). https://doi.org/10.18687/LACCEI2024.1.1.582
Jonek, M., Niermann, D., Petzoldt, C., Manns, M., & Freitag, M. (2023). Automated Analysis of Assembly Processes in Human-Robot Collaboration: Research Approaches and Chal-lenges. Procedia CIRP, 120, 1203–1208. https://doi.org/10.1016/j.procir.2023.09.149
Kaarlela, T., Pieskä, S., & Pitkäaho, T. (2020). Digital Twin and Virtual Reality for Safety Training. 2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), 000115–000120. https://doi.org/10.1109/CogInfoCom50765.2020.9237812
Kamble, S. S., Gunasekaran, A., Parekh, H., Mani, V., Belhadi, A., & Sharma, R. (2022). Digital twin for sustainable manufacturing supply chains: Current trends, future perspecti-ves, and an implementation framework. Technological Forecasting and Social Change, 176, 121448. https://doi.org/10.1016/j.techfore.2021.121448
Kang, B. G., & Kim, B. S. (2024). Attachable IoT-Based Digital Twin Framework Speciali-zed for SME Production Lines. International Journal of Simulation Modelling, 23(3), 471–482. https://doi.org/10.2507/IJSIMM23-3-694
Kawtar, A., & Ahmed, A. (2022). A Hybrid Method integrating Industry 4.0’s Energy Digi-tization. WSEAS TRANSACTIONS ON SYSTEMS, 21, 157–167. https://doi.org/10.37394/23202.2022.21.17
Kim, M., Shim, J. Y., Lim, S., Lee, H., Kwon, S. C., Hong, S., & Ryu, S. (2024). Reduction of greenhouse gas emissions by optimizing the textile dyeing process using digital twin technology. Fashion and Textiles, 11(1), 17. https://doi.org/10.1186/s40691-024-00384-w
Kim, Y.-D., Moon, J.-H., Park, J.-S., Kim, E.-Y., Kim, S.-S., & Um, J. (2023). Low-cost construction of digital twins using administration asset shell in augmented reality guide service for machine tool operators. Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), 2023, 12–18. https://doi.org/10.1049/icp.2023.1729
Kitchenham, B., & Charters, S. (2007). Guidelines for performing Systematic Literature Re-views in Software Engineering. 2. https://tinyurl.com/yc5cnnj6 Guidelines for perform-ing_Systematic_Literature_Reviews_in_Software_Engineering
Krommes, S., & Tomaschko, F. (2023). Conceptual Framework of a Digital Twin Fostering Sustainable Manufacturing in a Brownfield Approach of Small Volume Production for SMEs. In H. Kohl, G. Seliger, & F. Dietrich (Eds.), Manufacturing Driving Circular Eco-nomy, 519–527. Springer International Publishing. https://doi.org/10.1007/978-3-031-28839-5_58
Kuts, V., Marvel, J. A., Aksu, M., Pizzagalli, S. L., Sarkans, M., Bondarenko, Y., & Otto, T. (2022). Digital Twin as Industrial Robots Manipulation Validation Tool. Robotics, 11(5), Article 5. https://doi.org/10.3390/robotics11050113
Landolfi, G., Barni, A., Menato, S., Cavadini, F. A., Rovere, D., & Dal Maso, G. (2018). Design of a multi-sided platform supporting CPS deployment in the automation market. 2018 IEEE Industrial Cyber-Physical Systems (ICPS), 684–689. https://doi.org/10.1109/ICPHYS.2018.8390790
Lima, F., Massote, A. A., & Maia, R. F. (2019). IoT Energy Retrofit and the Connection of Legacy Machines Inside the Industry 4.0 Concept. IECON 2019 – 45th Annual Confe-rence of the IEEE Industrial Electronics Society, 5499–5504. https://doi.org/10.1109/IECON.2019.8927799
Løkke, S., & Madsen, O. (2023). SMEs and the Sustainability Challenge: Digital Shadow Enabling Smart Decision Making. In O. Madsen, U. Berger, C. Møller, A. Heidemann Lassen, B. Vejrum Waehrens, & C. Schou (Eds.), The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs, 281–295). Springer International Publishing. https://doi.org/10.1007/978-3-031-15428-7_23
Marra, E., Leone, D., Canavesi, R., Canetta, L., & Sorlini, M. (2024). Digital Twin-Based Solution as Key Enabler to Unlock an Extended Version of Manufacturing as a Service Business Model. 1–9. https://doi.org/10.1109/ICE/ITMC61926.2024.10794322
Marshall, C. (1999). Economic instruments and the business use of energy: A consultation paper. https://tinyurl.com/y6j5ahwd
McKenzie, S. (2004). Social sustainability: Towards some definitions (Australia) [Working paper]. Hawke Research Institute. https://apo.org.au/node/565
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Monek, G. D., & Fischer, S. (2023). DES and IIoT fusion approach towards real-time synchronization of physical and digital components in manufacturing processes. Reports in Mechanical Engineering, 4(1), Article 1. https://doi.org/10.31181/rme040115092023m
Mügge, J., Seegrün, A., Hoyer, T.-K., Riedelsheimer, T., & Lindow, K. (2024). Digital Twins within the Circular Economy: Literature Review and Concept Presentation. Sustainabi-lity, 16(7), Article 7. https://doi.org/10.3390/su16072748
Pacheco-Velazquez, E., Rodes-Paragarino, V., & Marquez-Uribe, A. (2024). Exploring edu-cational simulation platform features for addressing complexity in Industry 4.0: A qua-litative analysis of insights from logistics experts. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1331911
Park, K. T., Im, S. J., Kang, Y.-S., Noh, S. D., Kang, Y. T., & Yang, S. G. (2019). Service-oriented platform for smart operation of dyeing and finishing industry. International Jour-nal of Computer Integrated Manufacturing, 32(3), 307–326. https://doi.org/10.1080/0951192X.2019.1572225
Park, Y., Woo, J., & Choi, S. (2020). A Cloud-based Digital Twin Manufacturing System based on an Interoperable Data Schema for Smart Manufacturing. International Journal of Computer Integrated Manufacturing. https://tinyurl.com/bdd434kw
Petticrew, M., & Roberts, H. (2006). Why Do We Need Systematic Reviews? In Systematic Reviews in the Social Sciences (1st ed.), 1–26. John Wiley & Sons Ltd. https://doi.org/10.1002/9780470754887.ch1
Pires, F., Melo, V., Almeida, J., & Leitao, P. (2020). Digital Twin Experiments Focusing Virtualisation, Connectivity and Real-time Monitoring. 2020 IEEE Conference on Indust-rial Cyberphysical Systems (ICPS), 309–314. https://doi.org/10.1109/ICPS48405.2020.9274739
Rodič, B. (2017). Industry 4.0 and the New Simulation Modelling Paradigm. Organizacija, 50(3), 193–207. https://doi.org/10.1515/orga-2017-0017
Shevtshenko, E., Mahmood, K., Karaulova, T., & Raji, I. O. (2020). Multitier Digital Twin Approach for Agile Supply Chain Management. ASME 2020 International Mechanical Engineering Congress and Exposition. https://doi.org/10.1115/IMECE2020-23760
Singhaphandu, R., Pannakkong, W., Huynh, van-N., & Boonkwan, P. (2024). A Manual Assembly Virtual Training System With Automatically Generated Augmented Feed-back: Using the Comparison of Digitized Operator’s Skill. IEEE Access, 12, 133356–133391. https://doi.org/10.1109/ACCESS.2024.3436910
Sit, S. K. H., & Lee, C. K. M. (2023). Design of a Digital Twin in Low-Volume, High-Mix Job Allocation and Scheduling for Achieving Mass Personalization. Systems, 11(9), Ar-ticle 9. https://doi.org/10.3390/systems11090454
Sommer, M., Stjepandić, J., Stobrawa, S., & Soden, M. von. (2023). Automated generation of digital twin for a built environment using scan and object detection as input for production planning. Journal of Industrial Information Integration, 33, 100462. https://doi.org/10.1016/j.jii.2023.100462
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evi-dence-Informed Management Knowledge by Means of Systematic Review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
Ud Din, F., & Paul, D. (2022). Demystifying xAOSF/AOSR Framework in the Context of Di-gital Twin and Industry 4.0. In K. Arai (Ed.), Intelligent Systems and Applications, 600–610. Springer International Publishing. https://doi.org/10.1007/978-3-031-16075-2_44
Uhlemann, T. H.-J., Schock, C., Lehmann, C., Freiberger, S., & Steinhilper, R. (2017). The Digital Twin: Demonstrating the Potential of Real Time Data Acquisition in Production Systems. Procedia Manufacturing, 9, 113–120. https://doi.org/10.1016/j.promfg.2017.04.043
United Nations General Assembly. (2015). Transforming our world: The 2030 Agenda for Sus-tainable Development | Department of Economic and Social Affairs. https://sdgs.un.org/2030agenda
van Weijen, D. (2012). The language of (future) scientific communication. Research Trends, 1(33), 1411–1419. https://doi.org/10.1002/asi.22642
Webb, L., Tokhi, M. O., & Alkan, B. (2024). A Solution Architecture for Energy Monitoring and Visualisation in Smart Factories with Robotic Automation. In E. S. E. Yousssef, M. O. Tokhi, M. F. Silva, & L. M. Rincon (Eds.), Synergetic Cooperation between Robots and Humans. CLAWAR 2023. Lecture Notes in Networks and Systems Vol. 118, 383–394. Springer. https://link.springer.com/chapter/10.1007/978-3-031-47272-5_32
Wicaksono, H., Nisa, M. U., & Vijaya, A. (2023). Towards Intelligent and Trustable Digital Twin Asset Management Platform for Transportation Infrastructure Management Using Knowledge Graph and Explainable Artificial Intelligence (XAI). 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 0528–0532. https://doi.org/10.1109/IEEM58616.2023.10406401
World Commission on Environment and Development. (1987). Report of the World Commis-sion on Environment and Development: Note /: by the Secretary-General. UN. https://digitallibrary.un.org/record/139811
Yang, X., Zhou, Z., Sørensen, J. H., Christensen, C. B., Ünalan, M., & Zhang, X. (2023). Au-tomation of SME production with a Cobot system powered by learning-based vision. Ro-botics and Computer-Integrated Manufacturing, 83, 102564. https://doi.org/10.1016/j.rcim.2023.102564
Zambrano, V., Mueller-Roemer, J., Sandberg, M., Talasila, P., Zanin, D., Larsen, P. G., Loesch-ner, E., Thronicke, W., Pietraroia, D., Landolfi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I., … Stork, A. (2022). Industrial digitalization in the industry 4.0 era: Classification, reuse and authoring of digital models on Digital Twin platforms. Array, 14, 100176. https://doi.org/10.1016/j.array.2022.100176
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