Pneumatic tube systems in healthcare logistics: Case Study on operational efficiency and development requirements in Hungary

Authors

DOI:

https://doi.org/10.14513/sbe.00681

Keywords:

pneumatic tube system, supply chain, healthcare logistics

Abstract

Last-Mile Delivery, the final step in the logistics chain, has become critical but also faces challenges in both urban and rural areas. One potential solution is the use of pneumatic tube systems, already implemented in some countries for specific purposes. This investigation examines the operation of a pneumatic tube system in a Hungarian hospital. The aim of the publication is to investigate how pneumatic tube systems can enhance the efficiency of Last-Mile Delivery, with a particular focus on Hungarian healthcare institutions. The objective is to identify potential areas for development and explore broader applications of these systems beyond their current use. 

The research focused on a pneumatic tube system operating within a Hungarian healthcare institution. Data were collected through a questionnaire-based survey and in-depth interviews with system users. The survey explored user experiences, expectations, and suggestions for improvement. The questionnaire results indicate that while pneumatic tube systems offer several advantages, several areas require improvement. Respondents emphasized the importance of speed and reliability and highlighted the need for technical modernization. The feedback suggests that, beyond the healthcare sector, pneumatic tube technology may have potential applications in other logistics fields. 

Pneumatic tube systems represent a viable alternative for addressing increased Last-Mile Delivery demands, especially in closed or specialized environments such as healthcare institutions. The research demonstrated that, with appropriate development and adaptation, these systems could be extended beyond their traditional use and applied in new logistical contexts.  

References

Almelhem, M., Süle, E., & Buics, L. (2023). The Role of Blockchain and IOT in Reverse Logistics: the Impacts on the Environmental and Economical Sustainability – A Structured Literature Review. In Chemical Engineering Transactions (Vol. 107, pp. 433–438). Italian Association of Chemical Engineering - AIDIC. https://doi.org/10.3303/CET23107073

Alsakhen, I., Buics, L., & Süle, E. (2024). AI-driven resilience in revolutionizing supply chain management: A systematic literature review J. Infras. Policy. Dev. 2024, 8(16); https://doi.org/10.24294/jipd9474

Balassa, B. E., Koteczki, R., Lukács, B., & Buics, L. (2023). Sustainability Aspects of Drone-Assisted Last-Mile Delivery Systems—A Discrete Event Simulation Approach. Energies, 16(12). https://doi.org/10.3390/EN16124656

Bartucz, C., Buics, L., & Süle, E. (2023). Lack of Collaboration on the CEP Market and the Underlying Reasons—A Systematic Literature Review. Sustainability (Switzerland), 15(13). https://doi.org/10.3390/SU151310361

Bartucz, C., & Süle, E. (2023). Cooperation and Sustainability in Last-Mile Logistics Sector: Behavioural Aspects of Courier Express Parcel Service Providers. Chemical Engineering Transactions, 107, 565–570. https://doi.org/10.3303/CET23107095

Bosona, T. (2020). Urban Freight Last Mile Logistics—Challenges and Opportunities to Improve Sustainability: A Literature Review. Sustainability 2020, Vol. 12, Page 8769, 12(21), 8769. https://doi.org/10.3390/SU12218769

Correia, D., Teixeira, L., & Marques, J. L. (2021). Last-mile-as-a-service (LMaaS): An innovative concept for the disruption of the supply chain. Sustainable Cities and Society, 75, 103310. https://doi.org/10.1016/J.SCS.2021.103310

Desai, K. G., Colandene, J. D., Crotts, G., Sofa, C., Wang, N., Blockus, B., Mandal, B., Wittig, K., & Shukla, A. (2023). Transportation of mAb Dosing Solution in Intravenous Bag: Impact of Manual, Vehicle, and Pneumatic Tube System Transportation Methods on Product Quality. Molecular Pharmaceutics, 20(12), 6474–6491. https://doi.org/10.1021/ACS.MOLPHARMACEUT.3C00859

DHL Group. (2019, May 16). DHL launches its first regular fully-automated and intelligent urban drone delivery service. https://group.dhl.com/en/media-relations/press-releases/2019/dhl-launches-its-first-regular-fully-automated-and-intelligent-urban-drone-delivery-service.html

Dieter, P., Caron, M., & Schryen, G. (2023). Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework. European Journal of Operational Research, 311(1), 283–300. htt

Földesi, P., Botzheim, J., & Süle, E. (2011). Representation of loss aversion and impatience concerning time utility in supply chains. In J. Watada, G. Phillips-Wren, L. C. Jain, & R. J. Howlett (Eds.), Intelligent decision technologies (Vol. 10, pp. [insert page range if known]). Springer. https://doi.org/10.1007/978-3-642-22194-1_28

Garg, A., & Dewan, A. (2022). Pneumatic Tube Systems (PTS). Manual of Hospital Planning and Designing, 463–465. https://doi.org/10.1007/978-981-16-8456-2_44

Hódosi, G., Süle, E., Bódis, T. (2023) Multi-Criteria Decision Making: A Comparative Analysis. In: Kovac, I; Misevic, P; Zahariev, A (Eds.) Economic and Social Development: 103rd International Scientific Conference on Economic and Social Development – "Digital entrepreneurship in the context of the UN Sustainable Development Goals": Book of Proceedings Varazdin, Horvátország: Varazdin Development and Entrepreneurship Agency (2023) 382 p. pp. 81-90. , 10 p.

Howgego, T., & Roe, M. (1998). The use of pipelines for the urban distribution of goods. Transport Policy, 5(2), 61–72. https://doi.org/10.1016/S0967-070X(98)00012-2

Isken, M. W., & Littig, S. J. (2002). Simulation analysis of pneumatic tube systems. Journal of Medical Systems, 26(1), 9–19. https://doi.org/10.1023/A:1013034719088

ISO. (2023). ISO 31000:2018 - Risk management — Guidelines. https://www.iso.org/standard/65694.html

Izadkhah, A., Subramanyam, A., Lainez-Aguirre, J. M., Pinto, J. M., & Gounaris, C. E. (2022). Quantifying the impact of delivery day flexibility on last-mile delivery costs. Digital Chemical Engineering, 5, 100057. https://doi.org/10.1016/J.DCHE.2022.100057

Koroglu, M., Erkurt, M. A., Kuku, I., Kaya, E., Berber, I., Nizam, I., Yagar, Y., & Kayis, S. A. (2016). Assessing Safety of Pneumatic Tube System (PTS) for Patients with Very Low Hematologic Parameters. Medical Science Monitor, 22, 1329–1333. https://doi.org/10.12659/MSM.898164

Kunkel, S., & Tyfield, D. (2021). Digitalisation, sustainable industrialisation and digital rebound – Asking the right questions for a strategic research agenda. Energy Research & Social Science, 82, 102295. https://doi.org/10.1016/J.ERSS.2021.102295

Lazarov, W., Seda, P., Martinasek, Z., & Kummel, R. (2025). Penterep: Comprehensive penetration testing with adaptable interactive checklists. Computers & Security, 154, 104399. https://doi.org/10.1016/J.COSE.2025.104399

Peak, A. (2002). Delivering medications via a pneumatic tube system. American Journal of Health-System Pharmacy, 59(14), 1376–1376. https://doi.org/10.1093/AJHP/59.14.1376

Reiffer, A. S., Kübler, J., Kagerbauer, M., & Vortisch, P. (2023). Agent-based model of last-mile parcel deliveries and travel demand incorporating online shopping behavior. Research in Transportation Economics, 102, 101368. https://doi.org/10.1016/J.RETREC.2023.101368

Rejeb, A., Rejeb, K., Zrelli, I. & Süle E. (2025) Industry 5.0 as seen through its academic literature: an investigation using co-word analysis. Discover Sustainability 6, 307 (2025). https://doi.org/10.1007/s43621-025-01166-0

Rejeb, A., Rejeb, K., Keogh, J.G. & Süle E. (2025) When Industry 5.0 Meets the Circular Economy: A Systematic Literature Review. Circ.Econ.Sust. 5, 2621–2652. https://doi.org/10.1007/s43615-025-00570-y

Rejeb, A., Rejeb, K., Simske, S. & Süle E. (2025). Industry 5.0 research: an approach using co-word analysis and BERTopic modeling. Discover Sustainability 6, 402. https://doi.org/10.1007/s43621-025-01252-3

Salvi, A., Vitolla, F., Rubino, M., Giakoumelou, A., & Raimo, N. (2021). Online information on digitalisation processes and its impact on firm value. Journal of Business Research, 124, 437–444. https://doi.org/10.1016/J.JBUSRES.2020.10.025

Silva, V., Amaral, A., & Fontes, T. (2023). Towards sustainable last-mile logistics: A decision-making model for complex urban contexts. Sustainable Cities and Society, 96, 104665. https://doi.org/10.1016/J.SCS.2023.104665

Smart Kalasatama. (2015). Smart Kalasatama – Smart city district of Helsinki - Smart Kalasatama. https://fiksukalasatama.fi/en/smart-city/

Sós, E., Horváth, A., & Földesi, P. (2023). Effects of Cognitive Biases and Their Fuzzy Measure During Freight Transportation. Lecture Notes in Logistics, 29–43. https://doi.org/10.1007/978-3-031-28236-2_3/COVER

Süle, E. (2013) Lehetőségek az óraidőn túl: A negyedik dimenzió ígéretei Tér-Gazdaság-Ember 1 : 2 pp. 9-26. , 18 p. (2013)

Süle, E. (2009) The Role of Time in the Supply Chain. Acta Technica Jaurinensis 2 : 3 pp. 325-336. , 12 p. (2009)

Thomas, R. W., Ueltschy Murfield, M. L., & Ellram, L. M. (2022a). Leveraging sustainable supply chain information to alter last-mile delivery consumption: A social exchange perspective. Sustainable Production and Consumption, 34, 285–299. https://doi.org/10.1016/J.SPC.2022.09.014

Thomas, R. W., Ueltschy Murfield, M. L., & Ellram, L. M. (2022b). Leveraging sustainable supply chain information to alter last-mile delivery consumption: A social exchange perspective. Sustainable Production and Consumption, 34, 285–299. https://doi.org/10.1016/J.SPC.2022.09.014

Turkowski, M., & Szudarek, M. (2019). Pipeline system for transporting consumer goods, parcels and mail in capsules. Tunnelling and Underground Space Technology, 93, 103057. https://doi.org/10.1016/J.TUST.2019.103057

Wei, L., Chen, Y., Guo, D., Ji, J., Chen, Z., & Zhuo, C. (2024). A last-mile delivery system for underground logistics with “self-pickup +” and “home-entry +” modes. Tunnelling and Underground Space Technology, 147, 105678. https://doi.org/10.1016/J.TUST.2024.105678

Yu, Y., Yang, Y., Zeng, Q., Gao, R., Ding, H., Ma, J., Zhang, H., Zhu, J., & Zhao, Y. (2025). An improved hybrid FMEA method based on spherical fuzzy sets for risk assessment of offshore anchor pile installation. Ocean Engineering, 339, 122180. https://doi.org/10.1016/J.OCEANENG.2025.122180

Downloads

Published

2026-05-31

Issue

Section

Volume 2 - Digital Sustainability: Bridging Technology, People, and Governance

How to Cite

Solt, M., Sós, E., & Buics, L. (2026). Pneumatic tube systems in healthcare logistics: Case Study on operational efficiency and development requirements in Hungary . Kautz Studies in Business and Economics. https://doi.org/10.14513/sbe.00681