Abstract
A manufacturing information system is targeted for use anywhere production is taking place. Modern manufacturing information systems are generally computerized and are designed to collect and present the data which production operators need in order to plan and direct operations within the production. The application of mobile and wearable devices can support operators’ tasks without distracting them from their core duties. In this paper, we present an approach towards a wearable manufacturing information system that is able to implement decentralized production monitoring and control and supports users in their core tasks. Building upon acquired and digitally stored production data, these devices provide different user-specific information and services when required. A practical example from corrugation industry highlights advantages of mobile devices compared to conventional centralized systems in the field of manufacturing.
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Tao, F., Cheng, Y., Zhang, L., Nee, A.: Advanced manufacturing systems: socialization characteristics and trends. J. Intell. Manuf. 1–16 (2015)
Lee, J., Bagheri, B., Kao, H.-A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)
Westkamp, M.: Einsatz und Nutzenpotenziale von Data Mining in Produktionsunternehmen. Studie Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA, Stuttgart (2014)
Spath, D., Ganschar, O., Gerlach, S., Hämmerle, M., Krause, T., Schlund, S.: Produktionsarbeit der Zukunft-Industrie 4.0. Fraunhofer Verlag Stuttgart (2013)
Arnaiz Irigaray, A., Gilabert, E., Jantunen, E., Adgar, A.: Ubiquitous computing for dynamic condition-based maintenance. J. Qual. Maint. Eng. 15(2), 151–166 (2009)
Poslad, S.: Ubiquitous Computing: Smart Devices, Environments and Interactions. Wiley, Chichester (2011)
Günthner, W.A., Wölfle, M., Fischer, R., Potthast, J.-M., Baumgarten, S., Schneider, O., Hohenstein, F.: Wearable Computing und RFID in Produktion und Logistik-Ansätze zur bereichsübergreifenden Nutzung digitaler Informationen. Log. J. 10–2011 (2011)
Pistofidis, P., Emmanouilidis, C., Koulamas, C., Karampatzakis, D., Papathanassiou, N.: A layered e-maintenance architecture powered by smart wireless monitoring components. In: Industrial Technology (ICIT), pp. 390–395. IEEE (2012)
Bousdekis, A., Papageorgiou, N., Magoutas, B., Apostolou, D., Mentzas, G.: A real-time architecture for proactive decision making in manufacturing enterprises. In: Ciuciu, I., et al. (eds.) OTM 2015. LNCS, vol. 9416, pp. 137–146. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-26138-6_17
Li, Q., Jiang, H., Tang, Q., Chen, Y., Li, J., Zhou, J.: Smart manufacturing standardization: reference model and standards framework. In: Ciuciu, I., Debruyne, C., Panetto, H., Weichhart, G., Bollen, P., Fensel, A., Vidal, M.-E. (eds.) OTM 2016. LNCS, vol. 10034, pp. 16–25. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55961-2_2
Muller, A., Marquez, A.C., Iung, B.: On the concept of e-maintenance: review and current research. Reliab. Eng. Syst. Saf. 93(8), 1165–1187 (2008)
Campos, J., Jantunen, E., Prakash, O.: A web and mobile device architecture for mobile e-maintenance. Int. J. Adv. Manuf. Technol. 45(1), 71–80 (2009)
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Schönig, S., Jablonski, S., Ermer, A., Aires, A.P. (2018). Digital Connected Production: Wearable Manufacturing Information Systems. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems. OTM 2017 Workshops. OTM 2017. Lecture Notes in Computer Science, vol 10697. Springer, Cham. https://doi.org/10.1007/978-3-319-73805-5_6
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DOI: https://doi.org/10.1007/978-3-319-73805-5_6
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