Skip to main content

Initiating Industrie 4.0 by Implementing Sensor Management – Improving Operational Availability

  • Conference paper
  • First Online:
Advanced Manufacturing and Automation VIII (IWAMA 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 484))

Included in the following conference series:

Abstract

To stay competitive in the future, industrialists must be prepared to adopt the imminent changes and new technologies associated with Industrie 4.0. These changes apply equally to the field of maintenance, which is also developing quickly. Sensors, along with analyses and competence, are one of the most critical factors for Industrie 4.0 as they are the connectors between the digital and physical world. Utilization of these sensors within maintenance is a relatively unexplored field. Thus, the aim of this paper is to present a novel concept for ways sensor management can be linked to maintenance and thereby improve operational availability. The paper also presents an overview of sensor management and trends within maintenance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fleischer, J., Klee, B., Spohrer, A., Merz, S.: Guideline sensors for Industrie 4.0. Options for cost-efficient sensor systems. VDMA Forum Industrie 4.0 (2018)

    Google Scholar 

  2. Guillén, A.J., Crespo, A., Macchi, M., Gómez, J.: On the role of prognostics and health management in advanced maintenance systems. Prod. Plann. Control 27(12), 991–1004 (2016). https://doi.org/10.1080/09537287.2016.1171920

    Article  Google Scholar 

  3. Han, T., Yang, B.-S.: Development of an e-maintenance system integrating advanced techniques. Comput. Ind. 57(6), 569–580 (2006). https://doi.org/10.1016/j.compind.2006.02.009

    Article  Google Scholar 

  4. Hero, A.O., Cochran, D.: Sensor management: past, present, and future. IEEE Sens. J. 11(12), 3064–3075 (2011). https://doi.org/10.1109/JSEN.2011.2167964

    Article  Google Scholar 

  5. Jin, T., Xiang, Y., Cassady, R.: Understanding operational availability in performance-based logistics and maintenance services. In: 2013 Proceedings of Annual Reliability and Maintainability Symposium (RAMS), 28–31 January 2013, pp. 1–6. https://doi.org/10.1109/rams.2013.6517654

  6. Kagermann, H., Helbig, J., Hellinger, A., Wahlster, W.: Recommendations for implementing the strategic initiative Industrie 4.0: Securing the Future of German Manufacturing Industry; Final Report of the Industrie 4.0 Working Group. Forschungsunion, Acatech (2013)

    Google Scholar 

  7. Kahler, B., Blasch, E.: Sensor management fusion using operating conditions. In: 2008 IEEE National Aerospace and Electronics Conference, 16–18 July 2008, pp. 281–288. https://doi.org/10.1109/naecon.2008.4806559

  8. Lee, J., Bagheri, B., Kao, H.-A.: A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufact. Lett. 3, 18–23 (2015). https://doi.org/10.1016/j.mfglet.2014.12.001

    Article  Google Scholar 

  9. Lee, J., Jin, C., Bagheri, B.: Cyber physical systems for predictive production systems. Prod. Eng. Res. Dev. 11(2), 155–165 (2017). https://doi.org/10.1007/s11740-017-0729-4

    Article  Google Scholar 

  10. Liebstückel, K.: Plant Maintenance with SAP - Practical Guide. SAP Press, Bonn, Boston (2014)

    Google Scholar 

  11. Macchi, M., Crespo Márquez, A., Holgado, M., Fumagalli, L., Barberá Martínez, L.: Value-driven engineering of E-maintenance platforms. J. Manufact. Technol. Manag. 25(4), 568–598 (2014). https://doi.org/10.1108/JMTM-04-2013-0039

    Article  Google Scholar 

  12. Muller, A., Crespo Marquez, A., Iung, B.: On the concept of e-maintenance: review and current research. Reliab. Eng. Syst. Safety 93(8), 1165–1187 (2008). https://doi.org/10.1016/j.ress.2007.08.006

    Article  Google Scholar 

  13. Mæhlum, L.: Spinning Jenny. Store Norske Leksikon (2018)

    Google Scholar 

  14. Ng, G.W., Ng, K.H.: Sensor management – what, why and how. Inf. Fusion 1(2), 67–75 (2000). https://doi.org/10.1016/S1566-2535(00)00009-9

    Article  Google Scholar 

  15. PwC/Mainnovation (2017) Predictive maintenance 4.0 - predict the unpredictable

    Google Scholar 

  16. Qiu, H., Lee, J.: Near-Zero Downtime: Overview and Trends. Noria. https://www.reliableplant.com/Read/6971/downtime-trends. Accessed 16 Aug 2018

  17. Ramamurthy, H., Prabhu, B.S., Gadh, R., Madni, A.M.: Wireless industrial monitoring and control using a smart sensor platform. IEEE Sens. J. 7(5), 611–618 (2007). https://doi.org/10.1109/JSEN.2007.894135

    Article  Google Scholar 

  18. Rastegari, A., Mobin, M.: Maintenance decision making, supported by computerized maintenance management system. In: 2016 Annual Reliability and Maintainability Symposium (RAMS), 25–28 January 2016, pp. 1–8. https://doi.org/10.1109/rams.2016.7448086

  19. Ucar, M., Qiu, R.G.: E-maintenance in support of E-automated manufacturing systems. J. Chin. Inst. Ind. Eng. 22(1), 1–10 (2005). https://doi.org/10.1080/10170660509509271

    Article  Google Scholar 

  20. Webel, S.: “Industrie 4.0”: Seven Facts to Know About the Future of Manufacturing. Siemens (2016). https://www.siemens.com/innovation/en/home/pictures-of-the-future/industry-and-automation/digtial-factory-trends-industrie-4-0.html. Accessed 14 Aug 2018

  21. Yong, Z., Yikang, G., Vlatkovic, V., Xiaojuan, W.: Progress of smart sensor and smart sensor networks. In: Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No. 04EX788), 15–19 June 2004, vol. 3604, pp. 3600–3606. https://doi.org/10.1109/wcica.2004.1343265

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jon Martin Fordal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fordal, J.M., Rødseth, H., Schjølberg, P. (2019). Initiating Industrie 4.0 by Implementing Sensor Management – Improving Operational Availability. In: Wang, K., Wang, Y., Strandhagen, J., Yu, T. (eds) Advanced Manufacturing and Automation VIII. IWAMA 2018. Lecture Notes in Electrical Engineering, vol 484. Springer, Singapore. https://doi.org/10.1007/978-981-13-2375-1_26

Download citation

Publish with us

Policies and ethics