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Integrating Smart Objects as Data Basis in Virtual Enterprise Collaborations

  • Sebastian Zöller
  • Ronny Hans
  • Dieter Schuller
  • Ulrich Lampe
  • Ralf Steinmetz
Conference paper
Part of the Proceedings of the I-ESA Conferences book series (IESACONF, volume 7)

Abstract

Small and Medium Enterprises of the manufacturing domain have to cope with a highly competitive market today. To establish flexible and efficient collaborations with partners in such an environment, new collaboration concepts and corresponding IT architectures are required, such as Virtual Manufacturing Enterprises. Therefore, we provide in this paper an overview of a generic IT architecture for realizing collaborations within Virtual Manufacturing Enterprises. However, besides an adequate IT architecture, a sound and up-to-date data basis is an essential necessity for inter-company collaborations to be successful. Smart Objects constitute a promising technology to gather and transmit a huge diversity of different process-relevant data in real time and can thus act as valuable data source in order to achieve such a comprehensive and up-to-date data basis. In consequence, we describe in this paper how Smart Object technology can be employed and integrated in our architecture for Virtual Manufacturing Enterprises in order to enable efficient data provisioning in such collaboration scenarios.

Keywords

Virtual manufacturing enterprises IT architecture Data provisioning Smart objects 

Notes

Acknowledgments

This work was partially supported by the Commission of the European Union within the ADVENTURE FP7-ICT project (Grant agreement no. 285220).

References

  1. 1.
    Dowlatshahi, S., & Cao, Q. (2006). The relationships among virtual enterprise, information technology, and business performance in agile manufacturing. European Journal of Operational Research, 174, 835–860.MATHCrossRefGoogle Scholar
  2. 2.
    Yusuf, Y., Sarhadi, M., & Gunasekaran, A. (1999). Agile manufacturing: The drivers, concepts and attributes. International Journal of Production Economics, 62, 33–43.CrossRefGoogle Scholar
  3. 3.
    Jain, S. (1995). Virtual factory framework: A key enabler for agile manufacturing. In: Proceedings of Symposium on Emerging Technologies and Factory Automation (pp. 247–258).Google Scholar
  4. 4.
    Park, K. H., & Favrel, J. (1999). Virtual enterprise—information system and networking solution. Computers & Industrial Engineering, 37, 441–444.CrossRefGoogle Scholar
  5. 5.
    Corvello, V., & Migliarese, P. (2007). Virtual forms for the organization of production: A comparative analysis. International Journal of Production Economics, 110, 5–15.CrossRefGoogle Scholar
  6. 6.
    Martinez, M., Fouletier, P., Park, K., & Favrel, J. (2001). Virtual enterprise—organisation, evolution and control. International Journal of Production Economics, 74, 225–238.CrossRefGoogle Scholar
  7. 7.
    Faisst, W. (1997). Information technology as an enabler of virtual enterprises. In Proceedings of the European Conference on Virtual Enterprises and Networked Solutions. Google Scholar
  8. 8.
    Vasseur, J.-P., & Dunkels, A. (2010). Interconnecting smart objects with IP: The next internet. Burlington USA: Morgan Kaufmann.Google Scholar
  9. 9.
    Kortuem, G., Kawsar, F., Fitton, D., & Sundramoorthy, V. (2010). Smart Objects as building blocks for the internet of things. IEEE Internet Computing, 14, 44–51.CrossRefGoogle Scholar
  10. 10.
    Hans, R., Zöller, S., Abels, S., Miede, A., & Steinmetz, R. (2013). Enabling collaboration in virtual manufacturing enterprises with cloud computing. In Proceedings of the 19th Americas Conference on Information Systems.Google Scholar
  11. 11.
    ADVENTURE Project Team. D3.1 Global architecture definition document. Retrieved October 04, 2013, from http://www.fp7-adventure.eu/resources/
  12. 12.
    Jedermann, R., Behrens, C., Laur, R., & Lang, W. (2007). Intelligent containers and sensor networks. In M. Hülsmann & K. Windt (Eds.), Understanding autonomous cooperation and control in logistics (pp. 365–392). Berlin: Springer.Google Scholar
  13. 13.
    Marin-Perianu, M., Meratnia, N., Havinga, P., de Souza, L., Müller, J., Spiess, P., et al. (2007). Decentralized enterprise systems: A multiplatform wireless sensor network approach. IEEE Wireless Communications, 14, 57–66.CrossRefGoogle Scholar
  14. 14.
    Zöller, S., Reinhardt, A., Meyer, M., & Steinmetz, R. (2010). Deployment of wireless sensor networks in logistics. In Proceedings of the 9th GI/ITG KuVS Fachgespräch Drahtlose Sensornetze (pp. 67–70).Google Scholar
  15. 15.
    Bartel, J. I-Jetty: Webserver for the android mobile platform. Retrieved October 04, 2013, from https://code.google.com/p/i-jetty/
  16. 16.
    Sphinx Software. Sphinx mobile web server. Retrieved October 04, 2013, from http://sphinx-soft.com/MWS/
  17. 17.
    Bretzke, W.-R., & Klett, M. (2004). Supply Chain Event Management als Entwicklungspotenzial für Logistikdienstleister. In Beckmann, H., (Ed.), Supply chain management. Berlin: Springer.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Sebastian Zöller
    • 1
  • Ronny Hans
    • 1
  • Dieter Schuller
    • 1
  • Ulrich Lampe
    • 1
  • Ralf Steinmetz
    • 1
  1. 1.Technische Universität Darmstadt—Multimedia Communications Lab (KOM)DarmstadtGermany

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