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Context-Aware Self-configuration of Flexible Supply Networks

  • Alexander Smirnov
  • Leonid Sheremetov
  • Christian Sánchez
  • Nikolay Shilov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8062)

Abstract

In a complex business, network configuring is a very dynamic process. In advanced supply networks, this task is carried out under time constraints and under uncertainties both in suppliers and in the orders. In this paper we show how semantic service-oriented architectures could assist in multilayer self-configuration of on-demand supply chain channels of a Flexible Supply Network (FSN) inspired in Build-to-Order strategy. The approach is based on the idea to characterize all FSN members by their functions or services and to describe them via profiles thus defining their roles. The profiles described by the application ontology are associated with agent-based services that negotiate in order to dynamically configure a network on demand. Semantic service discovery and dynamic composition are used to accomplish this task.

Keywords

Self-configuration service oriented architecture flexible supply network 

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References

  1. 1.
    Camarinha-Matos, L.M., Afsarmanesh, H.: A framework for Virtual Organization creation in a breeding environment. Int. Journal Annual Reviews in Control 31(1), 119–135 (2007)CrossRefGoogle Scholar
  2. 2.
    Ermilova, E., Afsarmanesh, H.: Competency modelling targeted on boosting configuration of virtual organisations. Production Planning and Control 21(2), 103–118 (2010)CrossRefGoogle Scholar
  3. 3.
    Gou, J., Yang, X., Dai, W.: On Demand Integration of Dynamic Supply Chain Application Based on Semantic Service Oriented Architecture. In: Xu, L., Tjoa, A., Chaudhry, S. (eds.) Research and Practical Issues of Enterprise Information Systems II. IFIP, vol. 254, pp. 589–598. Springer, Boston (2008)Google Scholar
  4. 4.
    Yin, J.W., Zhang, W.Y., Cai, M.: Weaving an agent-based semantic grid for distributed collaborative manufacturing. Int. Journal of Production Research 48(7), 2109–2126 (2010)CrossRefGoogle Scholar
  5. 5.
    Paszkiewicz, Z., Picard, W.: Modeling Competences in Service-Oriented Virtual Organization Breeding Environments. In: Shen, et al. (eds.) Proc. 15th Int. Conference on Computer Supported Cooperative Work in Design, pp. 497–502. IEEE (2011)Google Scholar
  6. 6.
    Pepiot, G., Cheikhrouhou, N., Furbringer, J., Glardon, R.: UECML: Unified enterprise competence modelling language. Computers in Industry 58, 130–142 (2007)CrossRefGoogle Scholar
  7. 7.
    Cai, M., Zhang, W.Y., Chen, G., Zhang, K., Li, S.T.: SWMRD: a Semantic Web-based manufacturing resource discovery system for cross-enterprise collaboration. Int. J. of Production Research 48(12), 3445–3460 (2010)CrossRefGoogle Scholar
  8. 8.
    Sanchez, C., Sheremetov, L.: A Model for Semantic Service Matching with Leftover and Missing Information. In: Xhafa, et al. (eds.) Proc. of the 8th Int. Conf. on Hybrid Intelligent Systems, pp. 198–203. IEEE CS Press (2008)Google Scholar
  9. 9.
    Smirnov, A., Shilov, N., Kashevnik, A.: Developing a knowledge management platform for automotive build-to-order production network. Human Systems Management 27(31), 15–30 (2008)Google Scholar
  10. 10.
    Smirnov, A., Levashova, T., Kashevnik, A., Shilov, N.: Self-Configuration of Flexible Supply Networks: Profile-Based Information Support. In: Proc. of the 13th IFAC Symposium on Information Control Problems in Manufacturing, pp. 97–102 (2009)CrossRefGoogle Scholar
  11. 11.
    Sheremetov, L., Sanchez, C.: Semantic SOA 4 SOA Supply Networks. In: Proc. of the 13th IFAC Symposium on Information Control Problems in Manufacturing, pp. 1287–1292 (2009)Google Scholar
  12. 12.
    Di Marzo Serugendo, G., Gleizes, M.-P., Karageorgos, A.: Self-organization in multi-agent systems. The Knowledge Engineering Review 20(2), 165–189 (2005)CrossRefGoogle Scholar
  13. 13.
    Ambient Networks Phase 2. Integrated Design for Context, Network and Policy Management, Deliverable D10-D1 (2006), http://www.ambient-networks.org/Files/deliverables/D10-D.1_PU.pdf (retrieved April 18, 2007)
  14. 14.
    Hofkirchner, W.: Emergence and the Logic of Explanation. An Argument for the Unity of Science. Acta Polytechnica Scandinavica, Mathematics, Computing and Management in Engineering Series 91, 23–30 (1998)Google Scholar
  15. 15.
    Fuchs, C.: Globalization and Self-Organization in the Knowledge-Based Society. TripleC 1(2), 105–169 (2003), http://triplec.uti.atCrossRefGoogle Scholar
  16. 16.
    Dey, A.K.: Understanding and using context. Personal Ubiquitous Computing 5(1), 4–7 (2001)CrossRefGoogle Scholar
  17. 17.
    Raz, D., Juhola, A.T., Serrat-Fernandez, J., Galis, A.: Fast and Efficient Context-Aware Services. John Willey & Sons, Ltd. (2006)Google Scholar
  18. 18.
    Rajkumar, R., Lee, I., Sha, L., Stankovic, J.: Cyber-physical systems: the next computing revolution. In: Proc. of the 47th Annual Design Automation Conference, pp. 731–736 (2010)Google Scholar
  19. 19.
    Shilov, N.: Product-Service System Configuration in SOA-Based Environment. In: Abramowicz, W., Maciaszek, L., Węcel, K. (eds.) BIS 2011 Workshops. LNBIP, vol. 97, pp. 184–195. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  20. 20.
    Smirnov, A., Shilov, N., Kashevnik, A.: Ontology-based Mobile Smart Museums Service, Approach for Small & Medium Museums. In: The Fourth International Conference on Advances in Future Internet, pp. 48–54 (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alexander Smirnov
    • 1
  • Leonid Sheremetov
    • 2
  • Christian Sánchez
    • 3
  • Nikolay Shilov
    • 1
  1. 1.St.Petersburg Institute for Informatics and AutomationRussian Academy of SciencesSt.PetersburgRussia
  2. 2.Mexican Petroleum InstituteMexico-cityMexico
  3. 3.Autonomous Metropolitan UniversityMexico-cityMexico

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