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Aspects of Body Metrics Data Management in the Long Term for the European Fitness Industry

Part of: Industry 4.0

Published online by Cambridge University Press:  26 July 2019

Benjamin-Julia Guérineau ,
Kousay Samir ,
Marvin Richrath ,
Kristin Paetzold  and
Joaquin Montero
Benjamin-Julia Guérineau*
Affiliation:
Laboratoire Roberval, FRE UTC-CNRS 2012, Sorbonne Universités, Université de technologie Compiègne; Laboratoire Numérix, École de technologie supérieure de Montréal;
Kousay Samir
Affiliation:
KTH Royal Institute of Technology, Department of Production Engineering;
Marvin Richrath
Affiliation:
Institut für integrierte Produktentwicklung (BIK), Universität Bremen;
Kristin Paetzold
Affiliation:
Universität der Bundeswehr München, Fakultät für Luft- und Raumfahrt, Institut für Technische Produktentwicklung
Joaquin Montero
Affiliation:
Universität der Bundeswehr München, Fakultät für Luft- und Raumfahrt, Institut für Technische Produktentwicklung
*
Contact: Guérineau, Benjamin-Julia, Sorbonne Universités, Université de technologie Compiègne, Ingénierie Mécanique, Canada, benjamin.guerineau@utc.fr

Abstract

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The dawn of the fourth industrial revolution, mostly known through the German initiative “Industrie 4.0”, builds on a set of technologies emerging from software and information and communication technologies (ICT); paired with the growth of the Internet-of-Things (IoT), the so-called “smart products” are expanding on the market. These smart products integrate data collection and processing capacities. Additionally, the collected data have their own lifecycle, and can be classified as sensitive data. In that sense, companies developing hardware products may need support to step in “smart products” development. Digital transformation strategy is a possible overall support for companies. However, regarding smart product development and IoT data management, no studies to date have addressed formalized guidelines to support companies. This article proposes a set of guidelines focusing on IoT data management to support hardware companies in their transformation towards smart products. The proposed guidelines are exemplified on a fitness industry case which is using wearable devices collecting body metrics, considered as sensitive data.

Keywords

Industry 4.0Digital transformationNew product developmentExperience designIoT data management
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 2051 - 2060
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Akyildiz, I., Melodia, T. and Chowdury, K. (2007), “Wireless multimedia sensor networks: A survey”, IEEE Wireless Communications, Vol. 14 No. 6, pp. 32–39.Google Scholar
Andreasen, MM and Hein, L. (1987), Integrated Product Development, IFS-Springer Verlag.Google Scholar
Ashibani, Y. and Mahmoud, Q.H. (2017), “Cyber physical systems security: Analysis, challenges and solutions”, Computers and Security, Elsevier Ltd, Vol. 68, pp. 81–97.Google Scholar
Benaloh, J., Chase, M., Horvitz, E. and Lauter, K. (2009), “Patient Controlled Encryption: Ensuring Privacy of Electronic Medical Records”, The ACM Cloud Computing Security Workshop, pp. 343–362.Google Scholar
Burmeister, C., Luettgens, D. and Piller, F.T. (2015), “Business Model Innovation for Industrie 4.0: Why the ‘Industrial Internet’ Mandates a New Perspective”, SSRN Electronic Journal, No. January, available at:https://doi.org/10.2139/ssrn.2571033.Google Scholar
Cross, N. (2001), “Designerly Ways of Knowing: Design Discipline Versus Design Science”, Design Issues, Vol. 17 No. 3, pp. 49–55.Google Scholar
Deloitte. (2018), European Health and Fitness Market Introduction, available at: https://www2.deloitte.com/content/dam/Deloitte/de/Documents/consumer-business/EuropeanHealthandFitnessReport_2018_extract.pdf.Google Scholar
Faller, C. and Feldmúller, D. (2015), “Industry 4.0 learning factory for regional SMEs”, Procedia CIRP, Elsevier B.V., Vol. 32 No. Clf, pp. 88–91.Google Scholar
Fan, S., Lau, R.Y.K. and Zhao, J.L. (2015), “Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix”, Big Data Research, Elsevier, March.Google Scholar
Fan, T. and Chen, Y. (2010), “A scheme of data management in the Internet of Things”, 2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, pp. 110–114.Google Scholar
Frayling, C. (1993), “Research in Art and Design”, Royal College of Art Research Papers, Vol. 1, p. 9.Google Scholar
Guérineau, B., Rivest, L., Bricogne, M., Durupt, A. and Eynard, B. (2018), “Towards a Design-Method Selection Framework for Multidisciplinary Product Development”, Design Conference 2018, pp. 2879–2890.Google Scholar
ISO. (2016), “ISO / IEC CD 30141 : Text of CD 30141”, Information Technology - Internet of Things Reference Architecture (IoT RA).Google Scholar
Jammes, F. and Smit, H. (2005), “Service-oriented paradigms in industrial automation”, IEEE Transactions on Industrial Informatics, Vol. 1 No. 1, pp. 62–70.Google Scholar
Jokinen, J. and Lastra, J.L.M. (2016), “Industrial monitoring and control approach for dynamic and distributed intelligent systems”, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, pp. 1–7.Google Scholar
Kagermann, H., Wahlster, W. and Helbig, J. (2013), “Recommendations for implementing the strategic initiative INDUSTRIE 4.0”, Final Report of the Industrie 4.0 WG, No. April, p. 82.Google Scholar
Khan, R., Khan, S.U., Zaheer, R. and Khan, S. (2012), “Future internet: The internet of things architecture, possible applications and key challenges”, Proceedings - 10th International Conference on Frontiers of Information Technology, FIT 2012, pp. 257–260.Google Scholar
King, N.J. and Raja, V.T. (2012), “Protecting the privacy and security of sensitive customer data in the cloud”, Computer Law and Security Review, Elsevier Advanced Technology, Vol. 28 No. 3, pp. 308–319.Google Scholar
Kiritsis, D. (2011), “Closed-loop PLM for intelligent products in the era of the Internet of things”, CAD Computer Aided Design, Elsevier Ltd, Vol. 43 No. 5, pp. 479–501.Google Scholar
Lasi, H., Fettke, P., Kemper, H.G., Feld, T. and Hoffmann, M. (2014), “Industry 4.0”, Business and Information Systems Engineering, Vol. 6 No. 4, pp. 239–242.Google Scholar
Lee, I. and Lee, K. (2015), “The Internet of Things (IoT): Applications, investments, and challenges for enterprises”, Business Horizons, “Kelley School of Business, Indiana University”, Vol. 58 No. 4, pp. 431–440.Google Scholar
Li, L. (2017), “China's manufacturing locus in 2025: With a comparison of ‘Made-in-China 2025’ and ‘Industry 4.0’”, Technological Forecasting and Social Change, Elsevier, Vol. 135 No. February 2017, pp. 66–74.Google Scholar
Li, L., Su, F., Zhang, W. and Mao, J.Y. (2017), “Digital transformation by SME entrepreneurs: A capability perspective”, Information Systems Journal, No. February 2016, pp. 1129–1157.Google Scholar
Liu, J., Wang, Q., Wan, J. and Xiong, J. (2012), “Towards real-time indoor localization in wireless sensor networks”, Proceedings - 2012 IEEE 12th International Conference on Computer and Information Technology, CIT 2012, pp. 877–884.Google Scholar
MacKenzie, C.M., Laskey, K., McCabe, F., Brown, P.F. and Metz, R. (2006), “Reference model for service oriented architecture”, Public Review Draft 2, Vol. 1 No. October, pp. 1–31.Google Scholar
Matt, C., Hess, T. and Benlian, A. (2015), “Digital Transformation Strategies”, Business and Information Systems Engineering, Springer Fachmedien Wiesbaden, Vol. 57 No. 5, pp. 339–343.Google Scholar
Michelson, B.B.M. and Links, E. (2011), “Event-Driven Architecture Overview 2011”, Architecture.Google Scholar
Michelson, B.M. (2006), “Event-driven architecture overview”, Patricia Seybold Group, Vol. 2.Google Scholar
Miorandi, D., Sicari, S., De Pellegrini, F. and Chlamtac, I. (2012), “Internet of things: Vision, applications and research challenges”, Ad Hoc Networks, Elsevier B.V., Vol. 10 No. 7, pp. 1497–1516.Google Scholar
Phelan, D. (2017), “The One Thing Nobody Has Told You About Apple Watch Series 3”, Forbes Online, September.Google Scholar
Porter, M.E. and Heppelmann, J.E. (2014), “How smart, Connected Products Are Transforming Competition”, Harvard Business Review, No. November, pp. 97–114.Google Scholar
Shamsuzzoha, A.H.M., Ehrs, M., Tenkorang, R.A., Nguyen, D. and Helo, P.T. (2013), “Performance evaluation of tracking and tracing for logistics operations”, International Journal of Shipping and Transport Logistics, Vol. 5 No. 1, p. 31.Google Scholar
Stigestadh, G. and Moberg, F. (2018), “Big Data, På Gott Och Ont: GDPR Som Stöd För Den Enskilde Individen”, Lunds universitet.Google Scholar
Szolovits, P., Doyle, J. and Long, W.J. (1994), “Guardian Angel: Patient-Centered Health Information Systems”, Technical Report MIT/LCS/TR-604, Cambridge, Massachusetts.Google Scholar
Takata, S., Kimura, F., Van Houten, F.J.A.M., Westkämper, E., Shpitalni, M., Ceglarek, D. and Lee, J (2004), “Maintenance: Changing role in life cycle management”, CIRP Annals - Manufacturing Technology, Elsevier, January.Google Scholar
Tankard, C. (2016), “What the GDPR means for businesses”, Network Security, Elsevier Advanced Technology, Vol. 2016 No. 6, pp. 5–8.Google Scholar
Ten, C.W., Manimaran, G. and Liu, C.C. (2010), “Cybersecurity for critical infrastructures: Attack and defense modeling”, IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, Vol. 40 No. 4, pp. 853–865.Google Scholar
Ustundag, A. and Cevikcan, E. (2018), “Industry 4.0: Managing The Digital Transformation (Springer Series in Advanced Manufacturing)”.Google Scholar
Vermersan, O. and Friess, P. (2010), The Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems, Vermersan, O. and Friess, P. (Eds) River Publishers, New York, NY, available at:https://doi.org/10.1007/978-1-4419-1674-7.Google Scholar
Xu, L. Da, He, W. and Li, S. (2014), “Internet of things in industries: A survey”, IEEE Transactions on Industrial Informatics, Vol. 10 No. 4, pp. 2233–2243.Google Scholar