Abstract
In production, an intelligent analysis of the data provided along the production line bears huge potential for increasing process efficiency and reducing production costs. The (continuous) collection of relevant data is a crucial precondition for every Industry 4.0 or smart technology. While new machines have internal controllers and sensors to meet those requirements, this is usually not the case for machines being already in use. Especially in the textile industry, it is often standard to keep old machines since the manufacturing methods themselves haven’t changed significantly over the past decades. Hence, the successful exploitation of digitalization advantages requires these companies to first develop and implement a digitization strategy. In this paper we present a concept which allows to develop modular, scalable, flexible solutions considering the whole digitization process from data acquisition to storage. The concept is complemented by a guideline for its application in industry. Experience from a prototypical application in a textile company is described. The concept enables companies to determine the various conditions and requirements for digitization, to analyze different possibilities and to deduce scenarios that lead to a solution for the effective utilization of Industry 4.0 technologies.
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References
Bondi, A.B.: Characteristics of scalability and their impact on performance. In: Proceedings of the 2nd International Workshop on Software and Performance, Ottawa, Ontario, pp. 195–203 (2000)
crisp Research. https://www.crisp-research.com/publication/public-cloud-key-successful-digital-transformation. Accessed 02 Mar 2020
Forcepoint. https://www.forcepoint.com/cyber-edu/data-security. Accessed 02 Mar 2020
Gharbi, M., Koschel, A., Rausch, A.: Software Architecture Fundamentals, 1st edn. dpunkt.verlag, Heidelberg (2019)
Halse, L.L., Jæger, B.: Operationalizing industry 4.0: understanding barriers of industry 4.0 and circular economy. In: Ameri, F., Stecke, K.E., von Cieminski, G., Kiritsis, D. (eds.) APMS 2019. IAICT, vol. 567, pp. 135–142. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29996-5_16
Hamrol, A., Zerbst, S., Bozek, M., Grabowska, M., Weber, M.: Analysis of the conditions for effective use of numerically controlled machine tools. In: Hamrol, A., Ciszak, O., Legutko, S., Jurczyk, M. (eds.) Advances in Manufacturing. LNME, pp. 3–12. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-68619-6_1
i-SCOOP. https://www.i-scoop.eu/digital-transformation/digitization-digitalization-digital-transformation-disruption. Accessed 02 Mar 2020
Luco, J., Mestre, S., Henry, L., Tamayo, S., Fontane, F.: Industry 4.0 in SMEs: a sectorial analysis. In: Ameri, F., Stecke, K.E., von Cieminski, G., Kiritsis, D. (eds.) APMS 2019. IAICT, vol. 566, pp. 357–365. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30000-5_45
Miller, T.D., Elgård, P.: Defining modules, modularity and modularization. In: Proceedings of the 13th IPS Research Seminar, Fuglsoe, Aalborg University (1998)
Napoleone, A., Andersen, A.-L., Pozzetti, A., Macchi, M.: Reconfigurable manufacturing: a classification of elements enabling convertibility and scalability. In: Ameri, F., Stecke, K.E., von Cieminski, G., Kiritsis, D. (eds.) APMS 2019. IAICT, vol. 566, pp. 349–356. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30000-5_44
PriceWaterhouseCoopers: Industry 4.0 - Opportunities and Challenges of the Industrial Internet (2014)
Richter, U.: Perspektiven der ostdeutschen Textilindustrie - Grundrisse einer arbeitsorientierten Branchenstrategie. In: Schallmeyer, M., Gerlach, F. (eds.) Otto Brenner Stiftung-Arbeitsheft, vol. 50, pp. 1–32. Frankfurt/Main (2007)
Satyro, W.C., et al.: Implementation of industry 4.0 in Germany, Brazil and Portugal: barriers and benefits. In: Ameri, F., Stecke, K.E., von Cieminski, G., Kiritsis, D. (eds.) APMS 2019. IAICT, vol. 567, pp. 323–330. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29996-5_37
Schuh, G., Anderl, R., Gausemeier, J.: Industrie 4.0 maturity index: managing the digital transformation of companies. In: ten Hompel, M., Wahlster, W. (eds.) acatech STUDY, Herbert Utz Verlag, München (2017)
Statista. https://de.statista.com/statistik/daten/studie/731951/umfrage/anteil-des-umsatzes-von-kmu-am-gesamten-umsatz-in-deutschland-nach-wirtschaftszweigen. Accessed 14 Feb 2020
Wolf, T., Strohschen, J.-H.: Digitalisierung: Definition und Reife. Informatik-Spektrum 41(1), 56–64 (2018). https://doi.org/10.1007/s00287-017-1084-8
Zimmermann, V.: SMEs and digitalisation: the current position, recent developments and challenges. KfW Research, Focus on Economics, vol. 138. Frankfurt/Main (2016)
Acknowledgments
The authors would like to thank Sächsische Aufbaubank - Förderbank - for funding this work, which is part of the research and development project retroTEX. (Diese Maßnahme wird mitfinanziert mit Steuermitteln auf Grundlage des von den Abgeordneten des Sächsischen Landtags beschlossenen Haushaltes./This measure is co-financed by taxes based on the budget concluded by the parlamentarians of the Saxonian Landtag.)
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Franke, F., Franke, S., Riedel, R. (2020). Retrofit Concept for Textile Production. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Towards Smart and Digital Manufacturing. APMS 2020. IFIP Advances in Information and Communication Technology, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-030-57997-5_9
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