An Analysis of the Implementation of Robotic Process Automation in Shipping Logistics. A Case Study

An Analysis of the Implementation of Robotic Process Automation in Shipping Logistics. A Case Study

PACANA Andrzej, PILCH Milosz, Anna G. PIETRASZEK

Abstract. This article presents the results of a case study on the implementation of robotic process automation (RPA) in sales logistics and the shipping of finished products to customers at a company in the aerospace and defense industries. The RPA implementation encompassed the automation of ERP (Enterprise Resource Planning) tasks, including issuing finished products from stock, generating Certificates of Conformity (CofC), and archiving and printing the generated certificates. The study was conducted to assess the impact of RPA on process efficiency and to evaluate the involvement of logistics staff during weekly shipments [1-3]. An analysis of data extracted from the ERP system revealed that although the use of RPA did not shorten the time required to sell and validate a single finished product set, it nonetheless significantly reduced the amount of human labor involved in the process. Based on historical data, before the RPA implementation, logistics employees processed a certain average number of sets per day while also performing other duties. After implementation, finished-product sets could be processed automatically one after another throughout the day without interruption, which enabled nearly twice as many sets to be sold in a single day, while also eliminating the need for employee involvement in monotonous tasks related to sales and certificate generation. The findings confirm that implementing RPA in sales and shipping logistics significantly contributed to increased productivity and the effective use of human resources. The example analyzed constitutes an important element of enterprises’ digital transformation and Industry 4.0.

Keywords
Robotic Process Automation, RPA, Automation, Sales Logistics, Logistics 4.0, Operational Efficiency, Digital Transformation

Published online 1/25/2026, 8 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: PACANA Andrzej, PILCH Milosz, Anna G. PIETRASZEK, An Analysis of the Implementation of Robotic Process Automation in Shipping Logistics. A Case Study, Materials Research Proceedings, Vol. 62, pp 262-269, 2026

DOI: https://doi.org/10.21741/9781644904015-34

The article was published as article 34 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] A. Pacana et al., Improving the Process of Product Design in a Phase of Life Cycle Assessment (LCA). Processes 11 (2023) art.2579. https://doi.org/10.3390/pr11092579
[2] A. Pacana, D. Siwiec, Method of Determining Sequence Actions of Products Improvement. Materials 15 (2022) art.6321. https://doi.org/10.3390/ma15186321
[3] D. Siwiec, A. Pacana, A New Model Supporting Stability Quality of Materials and Industrial Products. Materials 15 (2022) art. 4440. https://doi.org/10.3390/ma15134440
[4] B. Siuta-Tokarska, Przemysł 4.0 i sztuczna inteligencja: szansa czy zagrożenie dla realizacji koncepcji zrównoważonego i trwałego rozwoju?, Nierówności społeczne a wzrost gospodarczy 65 (2021) 7-26. http://repozytorium.ur.edu.pl/handle/item/6274
[5] W. Furmarek, Najważniejsze idee czwartej rewolucji przemysłowej (Industry 4.0), Dydaktyka Informatyki T. 13 (2018) 55-63. http://repozytorium.ur.edu.pl/handle/item/3932
[6] L. Ivančić et al., Robotic process automation: systematic literature review, Lecture Notes in Bus. Inf. Proc. 361 (2019) 280-295. https://doi.org/10.1007/978-3-030-30429-4_19
[7] W.M.P. van der Aalst et al., Robotic Process Automation, Bus. Inf. Syst. Eng. 60 (2018) 269-272. https://doi.org/10.1007/s12599-018-0542-4
[8] A. Pacana et al., Decision support in the production of packaging films by cost-quality analysis. Przemysł Chemiczny 95 (2016) 1042-1044. https://doi.org/10.15199/62.2016.5.31
[9] T. Taulli, The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems, Apress, Berkeley, 2020.
[10] J. Krakau et al., Robotic process automation in logistics: Implementation model and factors of success, in: C. Jahn, W. Kersten, C.M. Ringle (Eds.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proc. Hamburg Int. Conf. Logistics (HICL) 32 (2021) 219-256. https://doi.org/10.15480/882.4005
[11] C. Flechsig, The impact of intelligent process automation on purchasing and supply management – initial insights from a multiple case study, Lecture Notes in Logistics (2021) 67-89. https://doi.org/10.1007/978-3-030-85843-8_5
[12] S. Khan et al., Application of robotic process automation (RPA) for supply chain management, smart transportation and logistics, International Journal of Health Sciences 6 (2022) 11051-11063. https://doi.org/10.53730/ijhs.v6ns3.8554
[13] Airbus Global Market Forecast 2025-2044, Aviation industry outlook, (2025), https://www.airbus.com/en/products-services/commercial-aircraft/global-market-forecast [access date: 28-10-2025]
[14] A. Pacana et al., Analysis of the incompatibility of the product with fluorescent method, Metalurgija 58 (2019) 337-340.
[15] Boeing. Commercial Market Outlook 2025–2044, (2025), https://www.boeing.com/commercial/market/commercial-market-outlook [access date: 28-10-2025]
[16] P. Wos et al., Bricklaying robot lifting and levelling system, Communications – Sci. Letters Univ. Žilina 23 (2021) B257-B264. https://doi.org/10.26552/COM.C.2021.4.B257-B264
[17] P.A. Laski, M. Smykowski, Using a development platform with an STM32 processor to prototype an inexpensive 4-dof delta parallel robot, Sensors 21 (2021) art. 7962. https://doi.org/10.3390/s21237962
[18] A. Annusewicz-Mistal et al., Autonomous Manipulator of a Mobile Robot Based on a Vision System, Applied Sciences 13 (2023) art. 439. https://doi.org/10.3390/app13010439
[19] W. Zórawski et al., Plasma-sprayed composite coatings with reduced friction coefficient, Surf. Coat. Technol. 202 (2008) 4578-4582. https://doi.org/10.1016/j.surfcoat.2008.04.026
[20] L. Adamczyk et al., Electrochemical preparation of composite coatings of 3,4- etylenodioxythiophene (EDOT) and 4-(pyrrole-1-yl) benzoic acid (PyBA) with heteropolyanions, Mater. Chem. Phys. 144 (2014) 418-424. https://doi.org/10.1016/j.matchemphys.2014.01.012
[21] M. Scendo et al., Influence of laser power on the corrosive resistance of WC-Cu coating, Surf. Coat. Technol. 259 (2014) 401-407. https://doi.org/10.1016/j.surfcoat.2014.10.062
[22] A. Kalinowski et al., The effect of laser infrared radiation on the surface modification of DLC coatings, AIP Conf. Proc. 3130 (2024) art. 020014. https://doi.org/10.1063/5.0204985
[23] A. Kalinowski et al., The effect of micro-machining with a single-mode and multi-mode fiber laser on the surface of DLC coatings, METAL 2024 – 33rd Int. Conf. Metall. Mater. (2024) 328-333. https://doi.org/10.37904/metal.2024.4952
[24] M. Scendo et al., Influence of laser treatment on the corrosive resistance of WC-Cu coating produced by electrospark deposition, Int. J. Electrochem. Sci. 8 (2013) 9264-9277.
[25] N. Radek et al., The impact of laser processing on the performance properties of electro-spark coatings, World Congress in Computational Mechanics and ECCOMAS Congress 1000 (2021). https://doi.org/10.23967/wccm-eccomas.2020.336
[26] N. Radek et al., Technology and applications of ESD coatings before and after laser processing, METAL 2023 – 32nd Int. Conf. Metall. Mater. (2024) 500-505. https://doi.org/10.37904/metal.2023.4727
[27] N. Radek, R. Dwornicka, Fire properties of intumescent coating systems for the rolling stock, Communications – Sci. Letters Univ. Žilina 22 (2020) 90-96. https://doi.org/10.26552/com.C.2020.4.90-96
[28] J. Pietraszek et al., Challenges for the DOE methodology related to the introduction of Industry 4.0, Prod. Eng. Arch. 26 (2020) 190-194. https://doi.org/10.30657/pea.2020.26.33
[29] 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
[30] A. Gądek-Moszczak et al., The bootstrap approach to the comparison of two methods applied to the evaluation of the growth index in the analysis of the digital X-ray image of a bone regenerate, Studies in Comp. Intell. 572 (2015) 127-136. https://doi.org/10.1007/978-3-319-10774-5_12
[31] 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
[32] 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
[33] 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
[34] Ł.J. Orman et al., Comparative Analysis of Indoor Environmental Quality and Self-Reported Productivity in Intelligent and Traditional Buildings, Energies 16 (2023) art. 6663. https://doi.org/10.3390/en16186663
[35] D. Siwiec et al., Improving the non-destructive test by initiating the quality management techniques on an example of the turbine nozzle outlet, Materials Research Proceedings 17 (2020) 16-22. https://doi.org/10.21741/9781644901038-3
[36] R. Ulewicz et al., Logistic controlling processes and quality issues in a cast iron foundry, Materials Research Proceedings 17 (2020) 65-71. https://doi.org/10.21741/9781644901038-10
[37] T. Lipiński, R. Ulewicz, The effect of the impurities spaces on the quality of structural steel working at variable loads, Open Engineering 11 (2021) 233-238. https://doi.org/10.1515/eng-2021-0024
[38] A. Pacana, D. Siwiec, Method of Fuzzy Analysis of Qualitative-Environmental Threat in Improving Products and Processes (Fuzzy QE-FMEA), Materials 16 (2023) art. 1651. https://doi.org/10.3390/ma16041651
[39] R. Ulewicz et al., Sustainable Vehicle Design Considering Quality Level and Life Cycle Environmental Assessment (LCA), Energies 16 (2023) art. 8122. https://doi.org/10.3390/en16248122