Top

Published in:

2020 | OriginalPaper | Chapter

Analyzing the Potential of DLT-based Applications in Smart Factories

Authors : Dominik Roeck, Felix Schöneseiffen, Michael Greger, Erik Hofmann

Published in: Blockchain and Distributed Ledger Technology Use Cases

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

While companies struggle to implement Smart Factory initiatives, the emergence of decentralized Distributed Ledger Technology (DLT) promises to support Smart Factories. However, little is known about the extent to which DLT can support Smart Factory initiatives. Thus, this paper examines whether DLT is a useful addition to the Smart Factory concept in the context of Industry 4.0. The focus of the research lies on practical challenges that manufacturing companies are confronted with when creating Smart Factories and integrating them into their value chain. These challenges were worked out with the help of a literature review and interviews, which were conducted with employees of one of the most renowned industrial automation and digitization companies (undisclosed for confidentiality). Based on this, two DLT concepts were developed and discussed with the experts regarding their respective opportunities, risks, and feasibility. The DLT-based Audit Trail is intended to solve the challenge of creating a detailed, consistent and traceable overview of production processes, while the Crypto-based Agent Logic solves the challenge of setting priorities for orders in a fully automated production process. The results show that DLT integration in the context of the Smart Factory concept is to be regarded as useful and should be driven forward by further research.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter A Case Study of Blockchain-Induced Digital Transformation in the Public Sector

next chapter Next Generation Home Sharing: Disrupting Platform Organizations with Blockchain Technology and the Internet of Things?

The term Industry 4.0 was coined by the German Federal Ministry of Education and Research (BMBF), which supports medium-sized companies in various funding programs to actually dare the change to Industry 4.0, the digitization of production (Bundesministerium für Bildung und Forschung 2017).

“I2” stands for the second expert interview, see Table 2 in methodology for more details.

According to Rauchs et al. (2018, p. 24), a DLT system can be defined as “[…] a system of electronic records that enables a network of independent participants to establish a consensus around the authoritative ordering of cryptographically-validated (‘signed’) transactions. These records are made persistent by replicating the data across multiple nodes, and tamper-evident by linking them by cryptographic hashes. The shared result of the reconciliation/consensus process - the ‘ledger’ - serves as the authoritative version for these records”.

See https://lightning.network for further information.

See https://www.elaad.nl for further information.

See https://www.youtube.com/watch?v=J-mrQdqVg2I for further information.

Aiello, C. (2018, April 13). Elon Musk admits humans are sometimes superior to robots, in a tweet about Tesla delays. CNBC. Retrieved from https://www.cnbc.com/2018/04/13/elon-musk-admits-humans-are-sometimes-superior-to-robots.html.

Bendul, J., & Apostu, V. (2017). An accuracy investigation of product cost estimation in automotive die manufacturing. International Journal of Business Administration, 8(7), 1–15. https://doi.org/10.5430/ijba.v8n7p1.CrossRef

Bogner, A., Littig, B., & Menz, W. (2014). Interviews mit Experten: eine praxisorientierte Einführung. Wiesbaden: Springer-Verlag. Retrieved from https://link.springer.com/content/pdf/10.1007%2F978-3-531-19416-5.pdf.

Bundesministerium für Bildung und Forschung [BMBF]. (2017, August). Industrie 4.0. Innovationen für die Produktion von morgen [brochure]. Retrieved from https://www.bmbf.de/pub/Industrie_4.0.pdf.

Burke, R., Mussomeli, A., Laaper, S., Hartigan, M., & Sniderman, B. (2018). The Smart Factory: Responsive, adaptive, connected manufacturing (Series on Industry 4.0, digital manufacturing enterprises, and digital supply chain networks). Deloitte University Press. Retrieved from https://www2.deloitte.com/content/dam/insights/us/articles/4051_The-smart-factory/DUP_The-smart-factory.pdf.

Chandler, S. (2019, August 02). What is the difference between blockchain and DLT. COINTELEGRAPH. Retrieved from https://cointelegraph.com/news/what-is-the-difference-between-blockchain-and-dlt.

Chen, Y., & Jasin, S. (2018). Power of Dynamic Pricing in Revenue Management with Strategic (Forward-Looking) Customers. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3197959.

Degenhart, E. (2018, July 27). Schlagkräftiger ja, Zerschlagen nein. Handelsblatt, S. 6.

Ewinger, D., Ternès, A., Koerbel, J., & Towers, I. (Ed.). (2016). Individualisierung der Gesellschaft. In Arbeitswelt im Zeitalter der Individualisierung: Multigrafie und Multi-Option der Generation Y (pp. 5–12). Wiesbaden: Springer Gabler. Retrieved from https://www.springer.com/cda/content/document/cda_downloaddocument/9783658127527-c1.pdf?SGWID=0-0-45-1557570-p179994931.

Fandel, G., & Francois, P. (1993). Just-in-Time-Produktion und-Beschaffung Funktionsweise, Einsatzvoraussetzungen und Grenzen. In H. Albach (Ed.), Industrielles management (pp. 23–36). Wiesbaden: Springer Gabler. Retrieved from https://link.springer.com/chapter/10.1007/978-3-663-02130-8_2.

Gregor, S., & Hevner, A. (2013). Positioning and presenting design science research for maximum impact. MIS Quarterly, 37(2), 337–355. Retrieved from https://pdfs.semanticscholar.org/82a8/6371976aaf181a477745148eab07bb9ed143.pdf.

Heß, W. (2008). Ein Blick in die Zukunft – acht Megatrends, die Wirtschaft und Gesellschaft verändern (Working Paper No. 103). Allianz Dresdner Economic Research. Retrieved from https://www.allianz.com/v_1339508238000/media/current/de/images/ein_blick_in_die_zukunft_acht_megatrends.pdf.

Imtiaz, J. & Jasperneite, J. (2013). Scalability of OPC-UA down to the chip level enables “Internet of Things”. Industrial Informatics (INDIN), 11, 500–505. Retrieved from https://www.researchgate.net/profile/Juergen_Jasperneite/publication/261161659_Scalability_of_OPCUA_down_to_the_chip_level_enables_Internet_of_Things/links/004635367a8832bdf1000000/Scalability-of-OPC-UA-down-to-the-chip-level-enables-Internet-of-Things.pdf.

Jovanovic, S. (2014). The Importance of Audit Trails and Device History Records [Video]. Retrieved from https://www.youtube.com/watch?v=MK-rETo2Q_s.

Kagermann, H., Wahlster, W., & Helbig, J. (2013). Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0. Bundesministerium für Bildung und Forschung: Abschlussbericht des Arbeitskreises Industrie 4.0. Retrieved from https://www.bmbf.de/files/Umsetzungsempfehlungen_Industrie4_0.pdf.

Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014). Industrie 4.0. Wirtschaftsinformatik, 56(4), 261–264. https://doi.org/10.1007/s11576-014-0424-4.

Li, L., Chang, Q., & Ni, J. (2009). Data driven bottleneck detection of manufacturing systems. International Journal of Production Research, 47(18), 5019–5036. https://doi.org/10.1080/00207540701881860.CrossRef

Liu, J., Chang, Q., Xiao, G., & Biller, S. (2012). The costs of downtime incidents in serial multistage manufacturing systems. Journal of Manufacturing Science and Engineering, 134(2), 134–144. Retrieved from https://manufacturingscience.asmedigitalcollection.asme.org/article.aspx?articleID=1461053.

Lucke, D., Constantinescu, C., & Westkämper, E. (2008). Smart factory—A step towards the next generation of manufacturing. In M. Mitsuishi, K. Ueda & F. Kimura (Ed.), Manufacturing systems and technologies for the new frontier (pp. 115–118). London: Springer. Retrieved from https://doi.org/10.1007/978-1-84800-267-8_23.

March, S. T., & Scudder, G. D. (2017). Predictive maintenance: strategic use of IT in manufacturing organizations. Information Systems Frontiers, 1–15. https://doi.org/10.1007/s10796-017-9749-z.

Nebel, B., Lindner, F., & Engesser, T. (2017). Multi-agent systems. Albert Ludwig Universität Freiburg, Lehrstuhl für Informatik, Lecture 1. Retrieved from https://gki.informatik.uni-freiburg.de/teaching/ss17/multiagent-systems/lecture01.pdf.

O’Neal, S. (2019, January 22). Who scales it best? Inside blockchains’ ongoing transactions-per-second race. COINTELEGRAPH. Retrieved from https://cointelegraph.com/news/who-scales-it-best-inside-blockchains-ongoing-transactions-per-second-race.

OPC Foundation. (2018). What is OPC UA? Retrieved from https://opcfoundation.org/.

Plinke, W. (2000). Einführung in die industrielle Kosten-und Leistungsrechnung. In M. Kleinaltenkamp & W. Plinke (Eds.),Technischer vertrieb (pp. 615–689). Berlin: Springer. Retrieved from https://doi.org/10.1007/978-3-642-57165-7_8.

Radziwon, A., Bilberg, A., Bogers, M., & Madsen, E. S. (2014). The smart factory: Exploring adaptive and flexible manufacturing solutions. Procedia Engineering, 69, 1184–1190. Retrieved from https://doi.org/10.1016/j.proeng.2014.03.108.

Rauchs, M., Glidden, A., Gordon, B., Pieters, G. C., Recanatini, M., Rostand, F., Zhang, B. Z., et al. (2018). Distributed ledger technology systems: A conceptual framework. Retrieved from https://www.jbs.cam.ac.uk/fileadmin/user_upload/research/centres/alternative-finance/downloads/2018-10-26-conceptualising-dlt-systems.pdf.

Reger, J. (2018). Losgröße 1 in Serie produzieren. Maschinenmarkt, 13, 42–45. Retrieved from https://www.wiso-net.de/document/MAMA__453028120.

Roddeck, W. (2017). Sensoren und Aktoren. In A. Böge & W. Böge (Ed.), Handbuch Maschinenbau (pp. 675–700). Retrieved from https://link.springer.com/chapter/10.1007/978-3-658-12529-5_37.

Rossmann, M., Khadikar, A., Le Franc, P., Perea, L. Schneider-Maul, R., Buvat, J. & Ghosh, A. (2017). Smart Factories: How can manufacturers realize the potential of digital industrial revolution. Capgemini. Retrieved from https://www.capgemini.com/wp-content/uploads/2017/07/smart_factories-how_can_manufacturers_realize_the_potential_of_digital_industrial_revolution.pdf.

Schäfermeyer, M., Rosenkranz, C., & Holten, R. (2012). The impact of business process complexity on business process standardization. Business & Information Systems Engineering, 4, 261–270. https://doi.org/10.1007/s12599-012-0224-6.

Scherle, N., Boven, C., & Stangel-Meseke, M. (2016). Scheitern in internationalen Unternehmenskooperationen. In S. Kunert (Ed.), Failure management: Ursachen und Folgen des Scheiterns (pp. 249–270). Berling: Springer Gabler. Retrieved from https://link.springer.com/chapter/10.1007/978-3-662-47357-3_15.

Schiefer, J., Jeng, J. J., & Bruckner, R. M. (2003). Real-time workflow audit data integration into data warehouse systems. Retrieved from https://thoas2.isis.tuwien.ac.at/~js/download/ecis2003.pdf.

Schuh, G., Reuter, C., Hauptvogel, A., & Dölle, C. (2015). Hypotheses for a theory of production in the context of Industrie 4.0. In C. Brecher (Ed.), Advances in Production Technology (pp. 11–23). Springer Open. Retrieved from https://link.springer.com/content/pdf/10.1007%2F978-3-319-12304-2_2.pdf.

Sedgwick, K. (2018, April 20). No, Visa Doesn’t Handle 24,000 TPS and Neither Does Your Pet Blockchain. Bitcoin.com. Retrieved from https://news.bitcoin.com/no-visa-doesnt-handle-24000-tps-and-neither-does-your-pet-blockchain/.

Simon, H. A. (1996). The sciences of the artificial. Massachusetts: MIT Press.

Takeda, H., Veerkamp, P., Tomiyama, T., & Yoshikawa, H. (1990). Modeling design processes. AI Magazine, 11(4), 37–48. https://doi.org/10.1609/aimag.v11i4.855.CrossRef

Tao, F., Qi, Q., Liu, A. & Kusiak, A. (2018). Data-driven smart manufacturing. Journal of Manufacturing Systems. Retrieved from https://doi.org/10.1016/j.jmsy.2018.01.006.

Vaishnavi, V., Kuechler, W., & Petter, S. (2017). Design science research in information systems. Retrieved from https://www.desrist.org/design-research-in-information-systems/.

Voigt, K.-I. (2018). Losgröße definition. In Gabler Wirtschaftslexikon. Retrieved from https://wirtschaftslexikon.gabler.de/definition/losgroesse-40747/version-264125.

Wende, J., & Kiradjiev, P. (2014). An implementation of batch size 1 using the principles of Industrie 4.0. Elektrotechnik und Informationstechnik, 131(7), 202–206. https://doi.org/10.1007/s00502-014-0222-0.

Woodburn, D., & McDonald, M. (2012). Key Account Management: The Definite Guide (3rd ed.). Chichester: Wiley. Retrieved from https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119207252.ch1.

Title: Analyzing the Potential of DLT-based Applications in Smart Factories
Authors: Dominik Roeck
Felix Schöneseiffen
Michael Greger
Erik Hofmann
Publisher: Springer International Publishing
Book: Blockchain and Distributed Ledger Technology Use Cases
Print ISBN: 978-3-030-44336-8

Electronic ISBN: 978-3-030-44337-5

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-44337-5_12

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner