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AIDA 4.0: Architectures of Industry 4.0 Demonstrated Through Application Scenarios in Business Game

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Dynamics in Logistics (LDIC 2020)

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Abstract

Industry 4.0 is a very promising trend which could allow companies to achieve new levels of efficiency such as highly automated and adaptive supply chains, innovative products and even expansion to new markets. At the same time, due to numerous available scenarios of digitalization within a supply chain, it is very challenging for practitioners to choose one of them and to evaluate the adopted strategy in comparison to other possibilities. In order to provide support for practitioners and find an application-oriented way to teach Industry 4.0, a business game AIDA 4.0 was modeled. It is based on a typical process structure of a producing company, whereas proposed digitalization architectures reflect the current state of research. The AIDA 4.0 allow one group of participants to develop a scenario for their company based on one of the proposed architectures then compare their results with another group, who followed a different strategy.

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References

  1. Bauernhansl, T., ten Hompel, M., Vogel-Heuser, B. (eds.): Industrie 4.0 in Produktion. Automatisierung und Logistik. Springer, Wiesbaden (2014)

    Google Scholar 

  2. Ollesch, J., Hesenius, M., Gruhn, V., Alias, C.: Real-time event processing for smart logistics networks. In: Proff, H., Fojcik, T.M. (eds.) Mobilität und digitale Transformation, pp. 517–532. Springer, Wiesbaden (2018). https://doi.org/10.1007/978-3-658-20779-3_32

    Chapter  Google Scholar 

  3. Ponte, B., Sierra, E., de la Fuente, D., Lozano, J.: Exploring the interaction of inventory policies across the supply chain: an agent-based approach. Comput. Oper. Res. 78, 335–348 (2017). https://doi.org/10.1016/j.cor.2016.09.020

    Article  MathSciNet  MATH  Google Scholar 

  4. Wellbrock, W.: Innovative Supply-Chain-Management-Konzepte. Springer, Wiesbaden (2015). https://doi.org/10.1007/978-3-658-09181-1

    Book  Google Scholar 

  5. Yuvaraj, S., Sangeetha, M.: Smart supply chain management using Internet of Things (IoT) and low power wireless communication systems. In: International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 555–558. IEEE (2016)

    Google Scholar 

  6. Bogaschewsky, R., Müller, H.: Industrie 4.0: Wie verändern sich die IT-Systeme im Einkauf und SCM?

    Google Scholar 

  7. Monostori, J.: Supply chains robustness: challenges and opportunities. Procedia CIRP 67, 110–115 (2018). https://doi.org/10.1016/j.procir.2017.12.185

    Article  Google Scholar 

  8. Fisel, J., Duffie, N., Moser, E., Lanza, G.: Changeability - a frequency perspective. Procedia CIRP 79, 186–191 (2019). https://doi.org/10.1016/j.procir.2019.02.043

    Article  Google Scholar 

  9. Wagner, J., Kontny, H.: Use case of self-organizing adaptive supply chain. Epubli (2017). https://doi.org/10.15480/882.1471

  10. Tjahjono, B., Esplugues, C., Ares, E., Pelaez, G.: What does industry 4.0 mean to supply chain? Procedia Manuf. 13, 1175–1182 (2017). https://doi.org/10.1016/j.promfg.2017.09.191

    Article  Google Scholar 

  11. Kolberg, D., Berger, C., Pirvu, B.-C., Franke, M., Michniewicz, J.: CyProF – insights from a framework for designing cyber-physical systems in production environments. Procedia CIRP 57, 32–37 (2016). https://doi.org/10.1016/j.procir.2016.11.007

    Article  Google Scholar 

  12. Jede, A., Teuteberg, F.: Towards cloud-based supply chain processes: designing a reference model and elements of a research agenda. Int. J. Logist. Manag. 27, 438–462 (2016). https://doi.org/10.1108/IJLM-09-2014-0139

    Article  Google Scholar 

  13. Kotzab, H., Teller, C., Bourlakis, M., Wünsche, S.: Key competences of logistics and SCM professionals – the lifelong learning perspective. Supply Chain Manag. Int. J. 23, 50–64 (2018). https://doi.org/10.1108/SCM-02-2017-0079

    Article  Google Scholar 

  14. Zijm, H., Klumpp, M.: Future logistics: what to expect, how to adapt. In: Freitag, M., Kotzab, H., Pannek, J. (eds.) Dynamics in Logistics, pp. 365–379. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-45117-6_32

    Chapter  Google Scholar 

  15. Holweg, M., Bicheno, J.: Supply chain simulation–a tool for education, enhancement and endeavour. Int. J. Prod. Econ. 78, 163–175 (2002). https://doi.org/10.1016/S0925-5273(00)00171-7

    Article  Google Scholar 

  16. Yue, D., You, F.: Stackelberg-game-based modeling and optimization for supply chain design and operations: a mixed integer bilevel programming framework. Comput. Chem. Eng. 102, 81–95 (2017). https://doi.org/10.1016/j.compchemeng.2016.07.026

    Article  Google Scholar 

  17. Duin, H., Gorldt, C., Thoben, K.-D.: Serious Gaming als Instrument zur Kompetenzentwicklung für Hafenfachkräfte. In: Bullinger-Hoffmann, A.C. (ed.) Zukunftstechnologien und Kompetenzbedarfe, pp. 145–162. Springer, Heidelberg (2019). https://doi.org/10.1007/978-3-662-54952-0_9

    Chapter  Google Scholar 

  18. Klumpp, M., Neukirchen, T., Koop, W.: Mobile learning and human-artificial cooperation in logistics. In: Proff, H. (ed.) Mobilität in Zeiten der Veränderung, pp. 371–382. Springer, Wiesbaden (2019). https://doi.org/10.1007/978-3-658-26107-8_28

    Chapter  Google Scholar 

  19. Bellotti, F., Kapralos, B., Lee, K., Moreno-Ger, P., Berta, R.: Assessment in and of serious games: an overview. Adv. Hum.-Comput. Interact. 2013, 1–11 (2013). https://doi.org/10.1155/2013/136864

    Article  Google Scholar 

  20. Chin, J., Dukes, R., Gamson, W.: Assessment in simulation and gaming: a review of the last 40 years. Simul. Gaming 40, 553–568 (2009). https://doi.org/10.1177/1046878109332955

    Article  Google Scholar 

  21. McKinsey Digital: Industry 4.0 after the initial hype. Where manufacturers are finding value and how they can best capture it (2016)

    Google Scholar 

  22. Roth, A. (ed.): Einführung und Umsetzung von Industrie 4.0. Springer, Heidelberg (2016)

    Google Scholar 

  23. Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., Ueda, K.: Cyber-physical systems in manufacturing. CIRP Ann. 65, 621–641 (2016). https://doi.org/10.1016/j.cirp.2016.06.005

    Article  Google Scholar 

  24. Thoben, K.-D., Wiesner, S., Wuest, T.: “Industrie 4.0” and smart manufacturing – a review of research issues and application examples. Int. J. Autom. Technol. 11, 4–16 (2017). https://doi.org/10.20965/ijat.2017.p0004

    Article  Google Scholar 

  25. Verdouw, C.N., Wolfert, J., Beulens, A.J.M., Rialland, A.: Virtualization of food supply chains with the Internet of Things. J. Food Eng. 176, 128–136 (2016). https://doi.org/10.1016/j.jfoodeng.2015.11.009

    Article  Google Scholar 

  26. Rezapour, S., Farahani, R.Z., Pourakbar, M.: Resilient supply chain network design under competition: a case study. Eur. J. Oper. Res. 259, 1017–1035 (2017). https://doi.org/10.1016/j.ejor.2016.11.041

    Article  MathSciNet  MATH  Google Scholar 

  27. Mortazavi, A., Arshadi Khamseh, A., Azimi, P.: Designing of an intelligent self-adaptive model for supply chain ordering management system. Eng. Appl. Artif. Intell. 37, 207–220 (2015). https://doi.org/10.1016/j.engappai.2014.09.004

    Article  Google Scholar 

  28. Biedermann, L., Kotzab, H.: Erfolgsfaktoren zur zukünftigen Gestaltung resilienter Supply Chains – Konzeption eines Bezugsrahmens. In: Bode, C., Bogaschewsky, R., Eßig, M., Lasch, R., Stölzle, W. (eds.) Supply Management Research, pp. 235–254. Springer, Wiesbaden (2019). https://doi.org/10.1007/978-3-658-23818-6_11

    Chapter  Google Scholar 

  29. Basnet, C., Seuring, S.: Demand-oriented supply chain strategies – a review of the literature, p. 17 (2016)

    Google Scholar 

  30. O’Leary, D.E.: Supporting decisions in real-time enterprises: autonomic supply chain systems. Inf. Syst. E-Bus. Manag. 6, 239–255 (2008). https://doi.org/10.1007/s10257-008-0086-0

    Article  Google Scholar 

  31. Rentrop, C., Zimmermann, S.: Shadow IT: management and control of unofficial IT. In: ICDS, pp. 98–102 (2012)

    Google Scholar 

  32. Scholz-Reiter, B., Sowade, S.: Der Beitrag der Selbststeuerung zur Wandlungsfähigkeit von Produktionssystemen (2010). www.sfb637.uni-bremen.de/pubdb/repository/SFB637-B2-10-005-IIC.pdf

  33. Foerster, F., Mueller, D., Scholz, D., Michalik, A., Kiebler, L.: Integration of condition based maintenance orders into the decision-making of autonomous control methods. Procedia CIRP 81, 216–221 (2019). https://doi.org/10.1016/j.procir.2019.03.038

    Article  Google Scholar 

  34. Ouelhadj, D., Petrovic, S.: A survey of dynamic scheduling in manufacturing systems. J. Sched. 12, 417–431 (2009). https://doi.org/10.1007/s10951-008-0090-8

    Article  MathSciNet  MATH  Google Scholar 

  35. Liebler, K., Beissert, U., Motta, M., Wagenitz, A.: Introduction OTD-NET and LAS: order-to-delivery network simulation and decision support systems in complex production and logistics networks. In: 2013 Winter Simulations Conference (WSC), pp. 439–451. IEEE, Washington, DC (2013). https://doi.org/10.1109/WSC.2013.6721440

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Author information

Authors and Affiliations

  1. Fakultät Wirtschaft und Soziales, University of Applied Sciences in Hamburg, Alexanderstraße 1, 20099, Hamburg, Germany

    Julia Feldt (geb. Wagner) & Henning Kontny

  2. University of the West of Scotland, Technology Avenue, Glasgow, G72 0LH, UK

    Julia Feldt (geb. Wagner)

Authors
  1. Julia Feldt (geb. Wagner)
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  2. Henning Kontny
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Corresponding author

Correspondence to Julia Feldt (geb. Wagner) .

Editor information

Editors and Affiliations

  1. BIBA - Bremer Institut für Produktion und Logistik GmbH, Bremen, Germany

    Michael Freitag

  2. Maritime Business and Logistics, University of Bremen, Bremen, Germany

    Hans-Dietrich Haasis

  3. Logistics Management, University of Bremen, Bremen, Germany

    Herbert Kotzab

  4. Department of Production Engineering, Universität Bremen, Bremen, Germany

    Jürgen Pannek

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Feldt (geb. Wagner), J., Kontny, H. (2020). AIDA 4.0: Architectures of Industry 4.0 Demonstrated Through Application Scenarios in Business Game. In: Freitag, M., Haasis, HD., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. LDIC 2020. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-030-44783-0_38

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  • DOI: https://doi.org/10.1007/978-3-030-44783-0_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44782-3

  • Online ISBN: 978-3-030-44783-0

  • eBook Packages: EngineeringEngineering (R0)

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