Innovative Technical Aspects of Logistics in International Defense and Civil Cooperation
Ewa KOZIEŃ, Paola KOŁODZIEJ
Abstract. The article examines the innovative technological aspects of logistics within the framework of international cooperation between the civil and defense sectors. It examines key emerging technologies shaping contemporary logistics systems. The analysis also considers and addresses the challenges associated with system interoperability. The study emphasizes that the ongoing digital transformation of logistics, coupled with the increasing integration of civil and defense domains, fosters the development of resilient, adaptive, and sustainable supply chains, which constitute a cornerstone of security and stability in international economic and humanitarian operations.
Keywords
Logistics Innovation, Defense Cooperation, Interoperability, Digital Transformation, Supply Chain
Published online 1/25/2026, 7 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Ewa KOZIEŃ, Paola KOŁODZIEJ, Innovative Technical Aspects of Logistics in International Defense and Civil Cooperation, Materials Research Proceedings, Vol. 62, pp 352-358, 2026
DOI: https://doi.org/10.21741/9781644904015-45
The article was published as article 45 of the book Terotechnology XIV
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
References
[1] N. Altay et al. Innovation in humanitarian logistics and supply chain management: A systematic review. Ann. Oper. Res. 335(3) (2024) 965-987. https://doi.org/10.1007/s10479-023-05208-6
[2] I. Menache et al. How generative AI improves supply chain management. Harvard Business Review (2025) https://hbr.org/2025/01/how-generative-ai-improves-supply-chain-management
[3] J. Ahn, E. Huh, S. Choi. Oliot EPCIS: An open-source EPCIS 2.0 system for supply chain traceability. J. Ind. Inf. Integration 32 (2023) art.100451. https://doi.org/10.1016/j.jii.2023.100451
[4] M. Queiroz et al. Blockchain and AI for sustainable logistics. International Journal of Production Economics 247 (2022) art. 108400. https://doi.org/10.1016/j.ijpe.2021.108400
[5] F. Longo et al. The digital supply chain twin paradigm for enhancing resilience and sustainability against COVID-like crises. Procedia Computer Science 217 (2023) 1940-1947. https://doi.org/10.1016/j.procs.2022.12.394
[6] S. Werbińska-Wojciechowska, J. Żurek, K. Nadolny. Digital Twin for operation and maintenance of transport systems. App. Sci. 14 (2024) 3271. https://doi.org/10.3390/app14073271
[7] S. Sahoo, R.K. Jena, S.K. Patel. Blockchain for sustainable supply chain management. Electronic Commerce Research 24 (2024) 33-58. https://doi.org/10.1007/s10660-023-09657-6
[8] P.S. Gandhi Maniam, J.J. Hew, A.W. Kassim (2024). Determinants of Blockchain Adoption in the Australian Agricultural Supply Chain: A Systematic Literature Review. Sustainability 16 (2024) art. 2338. https://doi.org/10.3390/su16052338
[9] B. Kucukaltan, Z. Irani, E. Aktas. Business model canvas for humanitarian operations of logistics service providers. Production Planning & Control 32(11) (2020) 917-932. https://doi.org/10.1080/09537287.2020.1821679
[10] European Climate, Infrastructure and Environment Executive Agency. (2024). Connecting Europe Facility (CEF): Progress report 2024. Publications Office of the European Union. https://cinea.ec.europa.eu/programmes/connecting-europe-facility_en
[11] European Commission, Directorate-General for Mobility and Transport. (2024). Management plan 2024: Directorate-General for Mobility and Transport (DG MOVE). Publications Office of the European Union. https://commission.europa.eu/document/download/9184454a-73fd-4f00
-b9ea-a925a9f532ce_en
[12] T. Lackner et al. Review of autonomous mobile robots in intralogistics. Journal of Manufacturing Systems 70 (2024) 450-464. https://doi.org/10.1016/j.jmsy.2023.09.004
[13] A. García-Pérez et al. Transforming the European transport ecosystem through data-driven operations: interoperability challenges and requirements. Lecture Notes in Intell. Transp. Infrastr. 417 (2025) 417-431. https://doi.org/10.1007/978-3-031-82818-8_31
[14] ENISA. (2023). Good Practices for Supply Chain Cybersecurity. European Union Agency for Cybersecurity. https://www.enisa.europa.eu/publications
[15] R. Dubey, A. Gunasekaran, D.J. Bryde. AI and sustainability in logistics networks. Journal of Cleaner Production 374 (2022) 133-144. https://doi.org/10.1016/j.jclepro.2022.133144
[16] R. Ulewicz, Quality management system operation in the woodworking industry, The Path Forward for Wood Products: A Global Perspective – Proc. Sci. Papers (2016) 51-56.
[17] D. Klimecka-Tatar, R. Dwornicka, The assembly process stability assessment based on the strength parameters statistical control of complex metal products, METAL 2019 – 28th Int. Conf. Metall. Mater. (2019) 709-714.
[18] N. Radek, R. Dwornicka, Fire properties of intumescent coating systems for the rolling stock, Communications – Scientific Letters of the University of Žilina 22 (2020) 90-96. https://doi.org/10.26552/com.C.2020.4.90-96
[19] N. Radek, R. Dwornicka and D. Gontarski, The impact of laser processing on the performance properties of electro-spark coatings, WCCM 2021 and ECCOMAS Congress 1000 (2021) 1-10. https://doi.org/10.23967/wccm-eccomas.2020.336
[20] N. Radek et al., Operational properties of DLC coatings and their potential application, METAL 2022 – 31st Int. Conf. Metall. Mater., (2022) 531-536. https://doi.org/10.37904/metal.2022.4491
[21] A. Kalinowski et al., Laser surface texturing: characteristics and applications, System Safety: Human-Technical Facility-Environment 5 (2023) 240-248. https://doi.org/10.2478/czoto-2023-0026
[22] T. Lipiński, J. Pietraszek, Corrosion of the S235JR Carbon Steel after Normalizing and Overheating Annealing in 2.5% Sulphuric Acid at Room Temperature, Materials Research Proceedings 24 (2022) 102-108. https://doi.org/10.21741/9781644902059-16
[23] D. Nowakowski, A. Gądek-Moszczak and P. Lempa, Application of machine learning in the analysis of surface quality – the detection the surface layer damage of the vehicle body, METAL 2021 – 30th Int. Conf. Metall. Mater. (2021) 864-869. https://doi.org/10.37904/metal.2021.4210
[24] A. Gądek-Moszczak et al., Nano X-ray Tomography Application for Quantitative Surface Layer Geometry Analysis after Laser Beam Modification, Materials 15 (2022) art. 5935. https://doi.org/10.3390/ma15175935
[25] J. Pietraszek, A. Goroshko, The heuristic approach to the selection of experimental design, model and valid pre-processing transformation of DoE outcome, Advanced Materials Research 874 (2014) 145-149. https://doi.org/10.4028/www.scientific.net/AMR.874.145
[26] J. Pietraszek, N. Radek and A.V. Goroshko, Challenges for the DOE methodology related to the introduction of Industry 4.0, Production Engineering Archives 26 (2020) 190-194. https://doi.org/10.30657/pea.2020.26.33
[27] J. Pietraszek, A. Gadek-Moszczak, The smooth bootstrap approach to the distribution of a shape in the ferritic stainless steel AISI 434l powders, Solid State Phenomena 197 (2013) 162-167. https://doi.org/10.4028/www.scientific.net/SSP.197.162
[28] A. Szczotok et al., The bootstrap analysis of one-way ANOVA stability in the case of the ceramic shell mould of airfoil blade casting, Solid State Phenomena 235 (2015) 24-30. https://doi.org/10.4028/www.scientific.net/SSP.235.24
[29] R. Dwornicka, A. Goroshko and J. Pietraszek, The smoothed bootstrap fine-tuning, System Safety: Human-Technical Facility-Environment 1 (2019) 716-723. https://doi.org/10.2478/czoto-2019-0091
[30] J. Pietraszek et al., The non-parametric approach to the quantification of the uncertainty in the design of experiments modelling, UNCECOMP 2017 – Proc. 2nd Int. Conf. on Uncertainty Quantification in Comp. Sci. Eng. (2017) 598-604. https://doi.org/10.7712/120217.5395.17225
[31] A. Goroshko, V. Royzman and J. Pietraszek, Construction and practical application of hybrid statistically-determined models of multistage mechanical systems, Mechanika 20 (2014) 489-493. https://doi.org/10.5755/j01.mech.20.5.8221
[32] M. Krynke, R. Ulewicz, Analysis of the influence of slewing bearing mounting on their static load capacity, Transp. Res. Proc. 40 (2019) 745-750. https://doi.org/10.1016/j.trpro.2019.07.105
[33] A. Goroshko, R. Dwornicka and M. Zembytska, Multiphysics Modeling of Direct-Start Induction Motor Considering Rotor Unbalance, Materials Research Proceedings 45 (2024) 267-276. https://doi.org/10.21741/9781644903315-31
[34] N. Radek et al., The effect of laser treatment on operational properties of ESD coatings, METAL 2021 – 30th Int. Conf. Metall. Mater. (2021) 876-882. https://doi.org/10.37904/metal.2021.4212
[35] N. Radek et al., Technology and applications of ESD coatings before and after laser processing, METAL 2023 – Int. Conf. Metall. Mater. (2024) 500-505. https://doi.org/10.37904/metal.2023.4727
[36] R. Dwornicka, J. Pietraszek, The outline of the expert system for the design of experiment, Production Engineering Archives 20 (2018) 43-48. https://doi.org/10.30657/pea.2018.20.09
[37] J. Pietraszek, Fuzzy regression compared to classical experimental design in the case of flywheel assembly, Lecture Notes in Computer Science 7267 LNAI (2012) 310-317. https://doi.org/10.1007/978-3-642-29347-4_36
[38] J. Pietraszek, The modified sequential-binary approach for fuzzy operations on correlated assessments, Lecture Notes in Computer Science 7894 LNAI (2013) 353-364. https://doi.org/10.1007/978-3-642-38658-9_32
[39] R. Ulewicz, K. Czerwińska and A. Pacana, A Rank Model of Casting Non-Conformity Detection Methods in the Context of Industry 4.0, Materials 16 (2023) art. 723. https://doi.org/10.3390/ma16020723
[40] N. Radek et al., Properties of Steel Welded with CO2 Laser, Lecture Notes in Mechanical Engineering (2020) 571-580. https://doi.org/10.1007/978-3-030-33146-7_65
[41] R. Ulewicz, B. Krstić and M. Ingaldi, Mining Industry 4.0 – Opportunities and Barriers, Acta Montanistica Slovaca 27 (2022) 291-305. https://doi.org/10.46544/AMS.v2i2.02
[42] J.M. Djoković et al., Selection of the Optimal Window Type and Orientation for the Two Cities in Serbia and One in Slovakia, Energies 15 (2022) art. 323. https://doi.org/10.3390/en15010323
[43] Ł.J. Orman et al., Application of laser treatment technology for boiling heat transfer augmentation, Production Engineering Archives 30 (2024) 259-265. https://doi.org/10.30657/pea.2024.30.25
[44] E. Skrzypczak-Pietraszek, A.G. Pietraszek, Phytoremediation and Allelopathy as an Element of Sustainable Circular Economy to Prevent Environmental Pollution, Materials Research Proceedings 45 (2024) 140-145. https://doi.org/10.21741/9781644903315-17
[45] E. Skrzypczak-Pietraszek, J. Pietraszek, Chemical profile and seasonal variation of phenolic acid content in bastard balm (Melittis melissophyllum L., Lamiaceae), Journal of Pharmaceutical and Biomedical Analysis 66 (2012) 154-161. https://doi.org/10.1016/j.jpba.2012.03.037
[46] E. Skrzypczak-Pietraszek, J. Pietraszek, Seasonal changes of flavonoid content in Melittis melissophyllum L. (Lamiaceae), Chemistry and Biodiversity 11 (2014) 562-570. https://doi.org/10.1002/cbdv.201300148
