Advertisement

Towards an Agent and Knowledge Enacted Dynamic Workflow Management System for Intelligent Manufacturing Grid

  • He Yanli
  • He Weiping
  • Yang Haicheng
  • Hao Guangke
  • Zhao Kai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4101)

Abstract

To cope with the dynamism of the intelligent manufacturing grid environment, an agent and knowledge enacted dynamic workflow management system is proposed to support the manufacturing process modeling, control and management, smoothing the integration of the flow of the work during collaborative manufacturing process. Autonomous software agents are used to implement the functional components and to encapsulate the end user and participating resource in the system. The domain knowledge is constructed to support the agent conversation and abstract workflow modeling; Knowledge based rule mechanisms is applied to support process scheduling and enactment in the multi-agent environment. The design and prototype implementation of the system is discussed and demonstrated with a case study.

Keywords

Resource Agent Schedule Rule Agent Conversation Task Instance Manufacturing Grid 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Tao, Y., Yuan, Y.-P., Li, J., et al.: A multi agent based approach for manufacturing grid workflow. In: Proceedings of 2005 International Conference on Machine Learning and Cybernetics, vol. 1, pp. 1199–1204 (2005)Google Scholar
  2. 2.
    Yan, Y., Maamar, Z., shen, W.: Integration of workflow and agent technology for business process management. In: The Sixth International Conference on CSCW in Design, pp. 420–426 (2001)Google Scholar
  3. 3.
    Hu, J., Grefen, P.: Conceptual framework and architecture for service mediating workflow management. Information and Software Technology 45(13), 929–939 (2003)CrossRefGoogle Scholar
  4. 4.
    Buhler, P.A., Vidal, J.M.: Towards adaptive workflow enactment using multi agent systems. Information technology and management 6, 61–87 (2005)CrossRefGoogle Scholar
  5. 5.
    Wang, S., Shen, W., Hao, Q.: An agent-based Web service workflow model for inter-enterprise collaboration. Expert Systems with Applications (January 2006)Google Scholar
  6. 6.
    Yu, H., Bai, X., Marinescu, D.C.: Workflow management and resource discovery for an intelligent grid. Parallel computing 2005 31(7), 797–811 (2005)CrossRefGoogle Scholar
  7. 7.
    Wang, W., Liu, X., Luo, Y., Wang, X., Xu, Z.: Mapping Business Workflows onto Network Services Environments. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds.) GCC 2004. LNCS, vol. 3251, pp. 97–104. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  8. 8.
    Gruninger, M., Fox, M.S.: Enterprise modeling. AI Magazine 19, 109–121 (1998)Google Scholar
  9. 9.
    Lee, H.B., Kim, J.W., Joo, P.S.: KWM: knowledge-based workflow model for agile organization. Journal of Intelligent Information Systems 13(3), 261–278 (1999)CrossRefGoogle Scholar
  10. 10.
    Timm, I.J., Woelk, P.-O.: Ontology-based capability management for distributed problem solving in the manufacturing domain. In: Schillo, M., Klusch, M., Müller, J., Tianfield, H. (eds.) MATES 2003. LNCS (LNAI), vol. 2831, pp. 168–179. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  11. 11.
  12. 12.
    Paolucci, M., Kawamura, T., Payne, T.R., Sycara, K.P.: Semantic matching of web services capabilities. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, p. 333. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  13. 13.
  14. 14.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • He Yanli
    • 1
  • He Weiping
    • 1
  • Yang Haicheng
    • 2
  • Hao Guangke
    • 1
  • Zhao Kai
    • 1
  1. 1.The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of EducationNorthwestern Polytechnical UniversityXi’anChina
  2. 2.China Aerospace Science and Technology CorporationBeijingChina

Personalised recommendations