Capabilities of 5G for the Intralogistics of the Future

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

Generative AI in Organizational Knowledge Management

Generative AI in Organizational Knowledge Management

AI literacy as a prerequisite for augmentation
Uta Wilkens ORCID Icon, Valentin Langholf ORCID Icon, Niklas Obermann ORCID Icon
Generative Artificial Intelligence (GenAI) offers new opportunities for organizational knowledge management, particularly when it comes to learning processes at the interface between explicit, firm-specific, and tacit knowledge. Its use is therefore of particular interest for application areas such as industrial maintenance. Based on a mechanical engineering case study, this article demonstrates that augmenting both processes and employees with GenAI requires AI literacy combined with professional skills.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 118-126 | DOI 10.30844/I4SE.26.5.14
Competence Assurance for the Verification and Validation of Simulation Models

Competence Assurance for the Verification and Validation of Simulation Models

Requirements for AI-supported assistance in production and logistics
Sigrid Wenzel ORCID Icon, Felix Özkul ORCID Icon, Robin Sutherland ORCID Icon
Can artificial intelligence be used to assess the validity and credibility of simulation models and data for production and logistics? And what requirements must AI assistance meet to effectively support experts in verification and validation while simultaneously safeguarding their competence? In an online survey, simulation experts were asked regarding their expectations and needs.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 24-33 | DOI 10.30844/I4SE.26.5.3
Foundation Models in Industrial Robotics

Foundation Models in Industrial Robotics

Requirements for AI-supported assistance in production and logistics
Bernd Kuhlenkötter ORCID Icon, Daniel Syniawa ORCID Icon
Foundation models are increasingly changing the way robots are used in industry. Instead of writing complex programs line by line, programmers will soon be able to collaborate more closely with AI systems, describe tasks, and review generated solutions. This shifts their role from purely generating code to conceptual, supervisory, and validation activities. This article highlights the new possibilities that large AI models create for robot programming and the changes they entail for work and required skills in industrial practice.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 16-23 | DOI 10.30844/I4SE.26.5.2
AI-Driven Organization as a New Work Paradigm

AI-Driven Organization as a New Work Paradigm

Implications for individual and organizational change
Katharina Hölzle ORCID Icon, Leonie Krauch, Wolfgang Beinhauer ORCID Icon, Carsten Schmidt, Josephine Hofmann ORCID Icon
Is it sufficient to train employees in the use of AI tools, or does the AI organization require an entirely new set of competencies? This paper introduces a digital enablement model comprising three competency dimensions and demonstrates, through an upskilling program implemented at the Fraunhofer Institute for Industrial Engineering IAO, how organizations can sustainably bridge the AI adoption gap.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 94-100 | DOI 10.30844/I4SE.26.5.11
Designing Effective AI Certification

Designing Effective AI Certification

Insights from established certification domains for the standardization of human-centered AI
Katharina Morsch ORCID Icon
Certification for human-centered AI is becoming increasingly important—as a source of competitive differentiation, a response to regulatory expectations, and a mechanism for fostering human-centered work environments. But how can organizations determine whether the underlying requirements are truly embedded in practice? Drawing on expert interviews from established certification domains, this paper shows that the decisive question is answered not during the audit itself, but in the period between audit cycles. Ultimately, it is not the certificate that matters, but the commitment of organizational leadership and the organization as a whole to engage seriously in the certification process and its continuous implementation.
Industry 4.0 Science | Volume 42 | 2026 | Edition 5 | Pages 86-92 | DOI 10.30844/I4SE.26.4.10
Data-Driven Supplier Selection in Industry 4.0

Data-Driven Supplier Selection in Industry 4.0

Towards an industrial platform for selection and configuration
Purushothaman Ganesh ORCID Icon, Baris E. Albayrak ORCID Icon, Jörg Franke ORCID Icon, Till Sindel ORCID Icon, Jens Fürst, Sebastian Lang ORCID Icon
Industrial supply chains must repeatedly reconfigure sourcing strategies in response to disruptions, yet supplier capability information remains heterogeneous and difficult to operationalize. Existing research addresses supplier selection, simulation, and interoperability standards separately, treating discovery, evaluation, and optimization as disconnected steps requiring manual data transformation. This paper presents a framework for a data-driven industrial platform integrating three components: Asset Administration Shell-based supplier profiles structured by an Actor-Service ontology for semantic discovery, automatic discrete-event simulation model generation from layout data for performance evaluation, and KPI-driven configuration using optimization algorithms. The main contributions are an end-to-end interoperable workflow, a two-tier supplier profile concept separating semantic descriptions from simulation parameters, and a standardized KPI interface maintaining consistency ...
Industry 4.0 Science | Volume 42 | 2026 | Edition 4 | Pages 50-61 | DOI 10.30844/I4SE.26.4.6