Skip to main content

An Ontology for Production Control of Semiconductor Manufacturing Processes

  • Conference paper
Multiagent System Technologies (MATES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2831))

Included in the following conference series:

Abstract

In this paper, we describe an ontology for a hierarchically organized production control system in semiconductor manufacturing. The semiconductor manufacturing domain is characterized by reentrant product flows, sequence dependent setup-times, prescribed due-dates, a diverse product mix, a mix of different process types including batch processes and preventive maintenance issues because of complex technological processes. Starting from a hierarchical decomposition of the manufacturing system, we use an agent-based architecture for implementing the resulting production control system. In order to coordinate the autonomous entities of the hierarchy, we suggest an ontology that is appropriate to the hierarchical control approach. We illustrate the use of the suggested ontology.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Caire, G.: Jade Tutorial: Application-defined Content Languages and Ontologies. TILab S.p.A (2002)

    Google Scholar 

  2. FABMAS Project Web Site (2003), http://www.tu-ilmenau.de/fabmas

  3. FIPA Ontology Specification (1998), http://www.fipa.org/specs/fipa00006/

  4. Gruber, T.R.: Towards Principles for the Design of Ontologies Used for Knowledge Sharing. Int. J. Hum. Comp. Studies 43(5/6), 907–928 (1995)

    Article  Google Scholar 

  5. Habenicht, I., Mönch, L.: A Finite Capacity Beam-Search Algorithm for Production Scheduling of Semiconductor Wafer Fabrication Facilities. In: Yücesan, E., Chen, C.-H., Snowdown, J.L., Charnes, J.M. (eds.) Proceedings of the 2002 Winter Simulation Conference, San Diego, USA, pp. 1406–1413 (2002)

    Google Scholar 

  6. Heikkilä, T., Kollingbaum, M., Valckenaers, P., Bluemink, G.-J.: An Agent Architecture for Manufacturing Control: ManAge. Computers in Industry 46, 315–331 (2001)

    Article  Google Scholar 

  7. Mesarovic, M.D., Takahara, Y.: Abstract System Theory, Lecture Notes in Control and Information Sciences. Springer, Berlin (1989)

    Google Scholar 

  8. Mönch, L.: Analyse und Design für ein agentenbasiertes System zur Steuerung von Produktionsprozessen in der Halbleiterindustrie. In: Proceedings Verbundtagung Verteilte Informationssysteme auf der Grundlage von Objekten, Komponenten und Agenten vertIS, 99–112 (2001)

    Google Scholar 

  9. Mönch, L., Stehli, M., Schulz, R.: An Agent-Based Architecture for Solving Dynamic Resource Allocation Problems. In: Verbraeck, A., Krug, W. (eds.) Proceedings of the 14th European Simulation Symposium. Simulation in Industry, Dresden, pp. 331–337 (2002)

    Google Scholar 

  10. Mönch, L., Stehli, M., Zimmermann, J.: FABMAS – an Agent-Based System for Production Control of Semiconductor Manufacturing Processes. In: Mařík, V., McFarlane, D.C., Valckenaers, P. (eds.) HoloMAS 2003. LNCS (LNAI), vol. 2744, pp. 258–267. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  11. Obitko, M., Mařík, V.: Ontologies for Multi-Agent-Systems in Manufacturing Domain. In: Proceedings of the 13th International Workshop on Database and Expert Systems Applications (2002)

    Google Scholar 

  12. Schneeweiß, C.: Hierarchies in Distributed Decision-Making. Springer, Heidelberg (1999)

    Google Scholar 

  13. Smith, S., Becker, M.: An Ontology for Constructing Scheduling Systems. In: Working Notes of the 1997 Symposium on Ontological Engineering. AAAI Press, Menlo Park (1997)

    Google Scholar 

  14. Srivatsan, N., Bai, S.X., Gershwin, S.B.: Hierarchical Real-Time Integrated Scheduling of a Semiconductor Fabrication Facility. Control and Dynamic Systems 61, 197–241 (1994)

    Google Scholar 

  15. Wouters, C., Dillon, T., Rahayu, W., Chang, E.: A Practical Walkthrough of the Ontology Derivation Rules. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds.) DEXA 2002. LNCS, vol. 2453, pp. 259–268. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  16. Uschold, M., King, M., Moralee, S., Zorgios, Y.: The Enterprise Ontology (1997), http://www.aiai.ed.ac.uk/enterprise/enterprise/ontology.html#papers

  17. Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference Architecture for Holonic Manufacturing Systems: PROSA. Computers in Industry, 37(3), 225–276 (1998) (special Issue on Intelligent Manufacturing Systems)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mönch, L., Stehli, M. (2003). An Ontology for Production Control of Semiconductor Manufacturing Processes. In: Schillo, M., Klusch, M., Müller, J., Tianfield, H. (eds) Multiagent System Technologies. MATES 2003. Lecture Notes in Computer Science(), vol 2831. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39869-1_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-39869-1_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20124-3

  • Online ISBN: 978-3-540-39869-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics