Capabilities of 5G for the Intralogistics of the Future

Julius Burghardt, Lukas Höhn, Dieter Uckelmann ORCID Icon
JournalIndustrie 4.0 Management
Issue Volume 38, 2022, Edition 3, Pages 57-60
Open Accesshttps://doi.org/10.30844/IM_22-3_57-60
Bibliography Share Cite Download

Abstract

The use of 5G technology o ers many companies enormous opportunities regarding their efforts to optimize processes. In particular, the intralogistics of a smart factory could bene t signi cantly from the use of 5G. The position of diverse mobile units can be determined precisely. Applications such as the control of Automated Guided Vehicles (AGV ) or the precise localization of material come into consideration. If the potential of 5G technology can be fully utilized and integrated into the structure of intralogistics, production processes could be revolutionized.

Keywords

Bibliography

[1] Deutsche Telekom AG : 5G Geschwindigkeit ist Datenkommunikation in Echtzeit. URL: https://www.telekom.com/de/konzern/details/5g-geschwindigkeit-ist-datenkommunikation-in-echtzeit-544496, Abrufdatum 14.06.2021.
[2] Ruess, P. und Litauer R.: 5G als Schlüsseltechnologie für mehr Nachhaltigkeit in der Logistik? (2021), S. 36-49
[3] lte-anbieter.info: Wie die mobile Datenübertragung laufen lernte – die Mobilfunk Geschichte vom A-Netz bis LTE. URL: www.lte-anbieter.info/lte-geschichte.php, Abrufdatum 29.05.2021.
[4] Grotepass, J.; Eichinger, J. und Voigtländer, F.: Mit 5G zu neuen Potentialen in Produktion und Logistik. In: Handbuch Industrie 4.0. Berlin Heidelberg 2020, S. 251-284.
[5] Nolle, T.: Die Vorteile und Nachteile von Network Slicing bei 5G: Network Slicing nutzt Virtualisierung, um Nutzer, Geräte und Anwendungen entsprechend ihren QoS-Anforderungen zu trennen. Bietet diese Methode mehr Vorteile als Cloud Computing? URL: https://www.computerweekly.com/de/feature/Die-Vorteile-und-Nachteile-von-Network-Slicing-bei-5G, Abrufdatum 14.05.2021.
[6] VIAVI Solutions Inc.: 5G Network Slicing. URL: https://www.viavisolutions.com/es-es/node/71717, Abrufdatum 26.05.2021.
[7] Tiemann, J.; Rothe, M. und Schmidt, O.: Zukünftige Anwendungsfelder für 5G. URL: https://www.oeffentliche-it.de/-/zukunftige-anwendungsfelder-fur-5g, Abrufdatum 29.05.2021.
[8] Helmke, B.: Digitalisierung in der Logistik. In Projektmanagement in Logistik und Supply Chain Manage- ment, Hartel, D. H. Hrsg., Wiesbaden (2019), S. 183-207.
[9] Hartel, D. H. : Projektmanagement in Logistik und Supply Chain Management. Wiesbaden 2019.
[10] wirautomatisierer.de: Es werden mehr Daten übertragen. URL: https://wirautomatisierer.industrie.de/ wireless/5g-und-co-optimieren-produktionsmittel-materialfluss/, Abrufdatum 29.05.2021.
[11] Hompel, M. und Henke, M.: Logistik 4.0 in der Silicon Economy. In Hompel, Vogel-Heuser et al. (Hrsg) – Handbuch Industrie 4.0 (2020), S. 1-7.
[12] ITwissen.info: Picozelle. URL: https://www.itwissen.info/Picozelle-pico-radio-cell.html, Abrufdatum 29.05.2021.
[13] 5G-ACIA: 5G for Connected Industries and Automation. URL: https://5g-acia.org/wp-content/uploads/2021/04/WP_5G_for_Connected_Industries_and_Automation_Download_19.03.19.pdf, Abrufdatum 29.05.2021).
[14] Robert Bosch GmbH: Bosch nimmt erstes 5G-Campusnetz in Betrieb. URL: https://www.bosch-presse.de/ pressportal/de/de/bosch-nimmt-erstes-5g-campusnetz-in-be- trieb-221632.html, Abrufdatum 21.05.2021.
[15] Tödter, J.; Abel, B.; König, R. und Schüthe, D.: Flurförderzeuge für ein interaktives Zusammenspiel von Mensch und Maschine. In Handbuch Industrie 4.0. Berlin Heidelberg (2020), S. 171-186.
[16] Hausladen, I., IT-gestützte Logistik,Springer Fachmedien, Wiesbaden 2020.
[17] Loidl, K., 5G-Lokalisierung. URL: https://www.iis.fraunhofer.de/de/ff/lv/lok/5g.html, Abrufdatum 07.06.2021.
[18] Loidl, K.: Eckstein, Eckstein, nichts wird mehr versteckt sein: 5G-Mobilfunk bietet neue Möglichkeiten für Lokalisierung und Tracking. URL: https://www.fraunhofer-innovisions. de/cebit/eckstein-eckstein-nichts-mehr-wird-versteckt-sein, Abrufdatum 10.06.2021.
[19] Loidl, K.: Lokalisieren in 5G. URL: https://www.iis.fraunhofer.de/de/profil/jb/2019/lokalisieren-in-5g.html, Abrufdatum 05.06.2021.
[20] Loidl, K.,Positioning in 5G: Neue Möglichkeiten für industrielle AnwendungenURL: https://www.intralogistik-bw.de/wp-content/uploads/2018/03/Vortrag_FhIIS-Loidl_5G_Positioning_dt_2018.pdf.
[21] Loidl, K.: Überwachung und Steuerung von AGVs und UAVs. URL: www.iis.fraunhofer.de/de/ff/lv/lok/5g/industrie_logistik/ueberwachung.html, Abrufdatum 10.06.2021.

Your downloads


Solutions: Logistics

You might also be interested in

Industry 4.0—Progress and Digitalization in Limbo

Industry 4.0—Progress and Digitalization in Limbo

Status of sustainable transformation and digitalization in production engineering
Christian Donhauser ORCID Icon, Daniel Riepl
Digitalization projects help users represent complex processes more simply and efficiently. However, there are many obstacles to implementation. Reluctance to implement these projects is palpable. This affects, among others, employers and employees, who may fall behind economically by waiting or avoiding change. These observations can be traced back to an overarching research question: What barriers and systemic challenges hinder sustainable transformation within the context of Industry 4.0, particularly when considering human labor in production engineering? What questions are the affected stakeholders asking? The primary goal of this long-term research project is to define these questions decisively and in detail in order to develop a conceptual foundation that integrates research, teaching, and technological development and thus combines the potential of digital technologies with the experiential and practical knowledge of production workers.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 56-60
Application Potentials of Chinese Knowledge Platforms

Application Potentials of Chinese Knowledge Platforms

Digital platforms for knowledge transfer in research and education
Yunhao Su, Martin Braun ORCID Icon
Knowledge drives innovation, which is why digital platforms are increasingly used for knowledge transfer. The People’s Republic of China (PRC) is a global leader in digitalization and digital platforms are central to Chinese knowledge transfer and innovation systems. This study supplements theoretical concepts of knowledge transfer with empirical findings on the (further) development of relevant knowledge platforms. It examines the influence of specific design features on the functionality and quality of digital knowledge platforms. A literature review identifies seven condensed success criteria. Nine leading Chinese knowledge platforms are categorized based on their transfer logic and functional scope. Online survey participants assess the platform-specific manifestations of the identified criteria and highlight potential and areas for improvement in platform-based knowledge transfer.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 84-93
VR Training for Multimodal Cobot Interaction

VR Training for Multimodal Cobot Interaction

Virtual learning environments for collaborative robots
Christoph S. Zoller, Justus Langer, Kristoffer Waldow ORCID Icon, Merle Meyer, Arnulph Fuhrmann ORCID Icon
The VIRAMM research project is developing and prototyping a VR-based training concept for the integration of collaborative robots (cobots) in assembly-oriented U-cells. Since the benefits of cobots depend heavily on process, layout, and role integration, VIRAMM addresses the previously lacking consistent scenario design for variant comparisons with Key Performance Indicator (KPI)-based evaluation.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 106-112
Digital Factory Planning for Startups

Digital Factory Planning for Startups

A simulation-based production structure design
Herwig Winkler ORCID Icon, Tobias Isau
With the increasing complexity of production and logistics systems, traditional factory planning approaches are reaching their limits. In this context, digital factory planning offers a promising solution for enabling well-informed decisions, particularly during the early planning phases. For startups, the optimal planning of a production facility is challenging, as they often operate with limited financial and infrastructural resources. This paper presents a methodological approach to digital factory planning that utilizes VR simulation for the layout planning of a factory hall for a young company in the solar industry. The proposed approach demonstrates how simulations can support the design of flexible production structures, particularly in startup environments.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 68-75
Decentralized Coordination of AMRs

Decentralized Coordination of AMRs

Regulations for Autonomous Mobile Robots
Manuel Savadogo, Malte Stonis ORCID Icon, Peter Nyhuis ORCID Icon, Jürgen Hupp
The increasing automation of intralogistics requires flexible and resilient control concepts for Autonomous Mobile Robots (AMR). While centralized coordination approaches enable stringent control, they quickly reach their limits in terms of scalability and robustness. This paper therefore presents regulations for the decentralized coordination of AMR within the framework of the ORPHEUS project. The focus is on translating known decentralized decision-making principles into a rule framework tailored to industrial material flow scenarios, addressing both operational task assignment and safety-related conflict situations. ORPHEUS thus makes a significant contribution to the methodological structuring, parameterization, and practical transferability of decentralized coordination logics.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 96-105
Site Assessment for Flexible Intralogistics in Brownfield Sites

Site Assessment for Flexible Intralogistics in Brownfield Sites

Innovative decision support in practice
Jolanda Schierbaum, Carsten Feldmann, Lars Renhof
Due to its dynamic environment, space planning in intralogistics is not a one-time task but a recurring decision-making process subject to numerous constraints imposed by existing infrastructure. Decisions are often based on incomplete data, resulting in a high risk of poor planning decisions and inefficient use of space. This paper presents a practice-oriented process model for space evaluation in brownfield projects. The proposed approach improves the standardization and consistency of space evaluation and promotes best practices among all stakeholders. By supporting systematic decision-making, the process model contributes to optimized planning and resource allocation, thereby reducing risks and avoiding costly implementation errors.The process model is demonstrated through a case study conducted at a commercial vehicle manufacturer.
Industry 4.0 Science | Volume 42 | 2026 | Edition 3 | Pages 124-133
Christoph Brocks