nach oben

Erschienen in:

2020 | OriginalPaper | Buchkapitel

Storytelling with Data in the Context of Industry 4.0: A Power BI-Based Case Study on the Shop Floor

verfasst von : Juliana Salvadorinho, Leonor Teixeira, Beatriz Sousa Santos

Erschienen in: HCI International 2020 – Late Breaking Papers: Interaction, Knowledge and Social Media

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Industry 4.0 (I4.0) is characterized by cyber physical systems (CFS) and connectivity, paving the way to an end-to-end value chain, using Internet of Things (IoT) platforms supported on a decentralized intelligence in manufacturing processes. In such environments, large amounts of data are produced and there is an urgent need for organizations to take advantage of this data, otherwise its value may be lost. Data needs to be treated to produce consistent and valuable information to support decision-making. In the context of a manufacturing industry, both data analysis and visualization methods can drastically improve understanding of what is being done on the shop floor, enabling easier decision-making, ultimately reducing resources and costs. Visualization and storytelling are powerful ways to take advantage of human visual and cognitive capacities to simplify the business universe. This paper addresses the concept of “Storytelling with Data” and presents an example carried out in the shop floor of a chemical industry company meant to produce a real-time story about the data gathered from one of the manufacturing cells. The result was a streaming dashboard implemented using Microsoft Power BI.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren

Vorheriges Kapitel A Review on Eye-Tracking Metrics for Sleepiness

Nächstes Kapitel The Study on How Influencer Marketing Can Motivate Consumer Through Interaction-Based Mobile Communication

https://powerbi.microsoft.com/en-us/blog/microsoft-a-leader-in-gartners-magic-quadrant-for-analytics-and-bi-platforms-for-12-consecutive-years (visited, Jan, 2020).

Hill, R., Devitt, J., Anjum, A., Ali, M.: Towards in-transit analytics for industry 4.0. In: Proceedings - IEEE International Conference on Internet Things, IEEE Green Computing and Communications IEEE Cyber, Physical and Social Computing, IEEE Smart Data, pp. 810–817 (2017). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.124

Arromba, A.R., Teixeira, L., Xambre, A.R.: Information flows improvement in production planning using lean concepts and BPMN an exploratory study in industrial context. In: 14th Iberian Conference on Information Systems and Technologies (CISTI), pp. 206–211 (2019)

Miragliotta, G., Sianesi, A., Convertini, E., Distante, R.: Data driven management in Industry 4.0: a method to measure Data Productivity. IFAC-PapersOnLine 51, 19–24 (2018). https://doi.org/10.1016/j.ifacol.2018.08.228CrossRef

Chaudhary, P., Hyde, M., Rodger, J.A.: Exploring the benefits of an agile information system. Intell. Inf. Manage. 09, 133–155 (2017). https://doi.org/10.4236/iim.2017.95007CrossRef

Narayanan, M., Sanil Shanker, K.P.: Data visualization method as the facilitator for business intelligence. Int. J. Eng. Adv. Technol. 8, 2249–8958 (2019). https://doi.org/10.35940/ijeat.f9054.088619CrossRef

Choi, T.M., Chan, H.K., Yue, X.: Recent development in big data analytics for business operations and risk management. IEEE Trans. Cybern. 47, 81–92 (2017). https://doi.org/10.1109/TCYB.2015.2507599CrossRef

Pribisalić, M., Jugo, I., Martinčić-Ipšić, S.: Selecting a business intelligence solution that is fit for business requirements. In: 32nd Bled eConference Humanizing Technology for a sustainable Society, pp 443–465 (2019)

Stecyk, A.: Business intelligence systems in SMEs. Eur. J. Serv. Manage. 27, 409–413 (2018)CrossRef

Chen, S., Li, J., Andrienko, G., et al.: Supporting story synthesis: bridging the gap between visual analytics and storytelling. IEEE Trans. Vis. Comput. Graph. 14, 1077–2626 (2015). https://doi.org/10.1109/TVCG.2018.2889054CrossRef

10.

Mantravadi, S., Møller, C.: An overview of next-generation manufacturing execution systems: how important is MES for industry 4.0? Procedia Manuf. 30, 588–595 (2019). https://doi.org/10.1016/j.promfg.2019.02.083CrossRef

11.

Da, X., Xu, E.L., Li, L.: Industry 4.0: state of the art and future trends. Int. J. Prod. Res. 56, 2941–2962 (2018). https://doi.org/10.1080/00207543.2018.1444806CrossRef

12.

Savastano, M., Amendola, C., Bellini, F., D’Ascenzo, F.: Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review. Sustainability 11, 891 (2019)CrossRef

13.

Salierno, G., Cabri, G., Leonardi, L.: Different perspectives of a factory of the future: an overview. In: Proper, H., Stirna, J. (eds.) Advanced Information Systems Engineering Workshops. Lecture Notes in Business Information Processing, pp. 107–119. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-20948-3_10CrossRef

14.

Qu, Y., Ming, X., Ni, Y., et al.: An integrated framework of enterprise information systems in smart manufacturing system via business process reengineering. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. (2018). https://doi.org/10.1177/0954405418816846CrossRef

15.

Tao, F., Zhang, M.: Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing. IEEE Access 5, 20418–20427 (2017). https://doi.org/10.1109/ACCESS.2017.2756069CrossRef

16.

Qi, Q., Tao, F.: Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison. IEEE Access 6, 3585–3593 (2018). https://doi.org/10.1109/ACCESS.2018.2793265CrossRef

17.

Zhu, Z., Liu, C., Xu, X.: Visualisation of the digital twin data in manufacturing by using augmented reality. Procedia CIRP 81, 898–903 (2019). https://doi.org/10.1016/j.procir.2019.03.223CrossRef

18.

Schroeder, G., Steinmetz, C., Pereira, C.E., et al.: Visualising the digital twin using web services and augmented reality. In: IEEE International Conference on Industrial Informatics, pp. 522–527 (2016). https://doi.org/10.1109/INDIN.2016.7819217

19.

Uhlemann, T.H.J., Lehmann, C., Steinhilper, R.: The digital twin: realizing the cyber-physical production system for Industry 4.0. Procedia CIRP 61, 335–340 (2017)CrossRef

20.

Schrefl, M., Neub, T., Schrefl, M., et al.: Modelling knowledge about data analysis modelling knowledge about data analysis in manufacturing processes. IFAC-PapersOnLine 48, 277–282 (2015). https://doi.org/10.1016/j.ifacol.2015.06.094CrossRef

21.

Bordeleau, F.E., Mosconi, E., de Santa-Eulalia, L.A.: The management of operations Business intelligence and analytics value creation in Industry 4.0 : a multiple case study in manufacturing medium enterprises case study in manufacturing medium enterprises. Prod. Plann. Control 1–13 (2019). https://doi.org/10.1080/09537287.2019.1631458

22.

Raghav, R.S., Pothula, S., Vengattaraman, T., Ponnurangam, D.: A survey of data visualization tools for analyzing large volume of data in big data platform. In: Proceedings of International Conference on Communication, Computing and Electronics Systems, ICCES 2016, pp. 1–6 (2016). https://doi.org/10.1109/CESYS.2016.7889976

23.

Raffoni, A., Visani, F., Bartolini, M., Silvi, R.: Business Performance Analytics: exploring the potential for Performance Management Systems. Prod. Plann. Control 29, 51–67 (2018). https://doi.org/10.1080/09537287.2017.1381887CrossRef

24.

Poleto, T., De Carvalho, V.D.H., Costa, A.P.C.S.: The full knowledge of big data in the integration of interorganizational information: an approach focused on decision making. Int. J. Decis. Support Syst. Technol. 9, 16–31 (2017). https://doi.org/10.4018/IJDSST.2017010102CrossRef

25.

Morgan, R., Grossmann, G., Schrefl, M., Stumptner, M.: A model-driven approach for visualisation processes. In: ACM International Conference Proceeding Series (2019). https://doi.org/10.1145/3290688.3290698

26.

Thalmann, S.., Mangler, J., Schreck, T., et al.: Data analytics for industrial process improvement a vision paper. In: Proceeding - 2018 20th IEEE International Conference on Bus Informatics, CBI 2018, vol. 2, pp. 92–96 (2018). https://doi.org/10.1109/CBI.2018.10051

27.

Zhou, F., Lin, X., Liu, C., et al.: A survey of visualization for smart manufacturing. J. Vis. 22, 419–435 (2019). https://doi.org/10.1007/s12650-018-0530-2CrossRef

28.

Ali, S.M., Gupta, N., Nayak, G.K., Lenka, R.K.: Big data visualization: tools and challenges. In: Proceedings of 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016, pp. 656–660 (2016). https://doi.org/10.1109/IC3I.2016.7918044

29.

Lee, B., Riche, N.H., Isenberg, P., Carpendale, S.: More than telling a story: transforming data into visually shared stories. IEEE Comput. Graph. Appl. 35, 84–90 (2015). https://doi.org/10.1109/MCG.2015.99CrossRef

30.

Kosara, R., MacKinlay, J.: Storytelling: the next step for visualization. Computer (Long Beach Calif) 46, 44–50 (2013). https://doi.org/10.1109/MC.2013.36CrossRef

31.

Tong, C., Roberts, R., Laramee, R.S., et al.: Storytelling and visualization: a survey. In: VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, pp. 212–224. SciTePress (2018)

32.

Segel, E., Heer, J.: Narrative visualization: telling stories with data. IEEE Trans. Vis. Comput. Graph. 16, 1139–1148 (2010). https://doi.org/10.1109/TVCG.2010.179CrossRef

33.

Ma, K.-L., Liao, I., Frazier, J., et al.: Scientific storytelling using visualization. IEEE Comput. Graph. Appl. 32, 12–15 (2012)

Titel: Storytelling with Data in the Context of Industry 4.0: A Power BI-Based Case Study on the Shop Floor
verfasst von: Juliana Salvadorinho
Leonor Teixeira
Beatriz Sousa Santos
Verlag: Springer International Publishing
Buch: HCI International 2020 – Late Breaking Papers: Interaction, Knowledge and Social Media
Print ISBN: 978-3-030-60151-5

Electronic ISBN: 978-3-030-60152-2

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-60152-2_48

Neuer Inhalt

Bildnachweise

VDI-Icon, Profil Icon, inhalt2, Springer Professional Modul/© Springer Fachmedien Wiesbaden GmbH, Zukunftswerkstatt Sales Excellence_ieS/© Springer Fachmedien Wiesbaden GmbH, Search Icon, Banner Hanser, Bunte Männchen, die Kunden darstelle, werden von einem riesigen Magneten angezogen. /© Oleksiy Mark, Dr. Daniel Schneider/© Fraunhofer IESE, Interview Level Ten PPA Bild/© LevelTen, Zeitschrift Wissensmanagement Cover, PatentFit-Logo/© Springer Fachmedien Wiesbaden GmbH, Zukunftswerkstatt Sales Excellence 2024/© AndreyPopov / Getty Images / iStock, 2023_Antrieb/© supervisuell, ATZ-Webinar: Prototypenfreie Entwicklung durch Offline- und Driver-in-the-Loop-HiL-Tests /© (c) VI-grade

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Neuer Inhalt

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.