Skip to main content
SpringerLink
Log in

Multiplant Production Design in Agent-Based Artificial Economic System

  • Conference paper
  • First Online:
Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10448))

Included in the following conference series:

Abstract

Management of production is a cornerstone of every economic system. This paper provides a formal description of a production unit (e.g. factory) represented by an agent in an artificial economic system. The concept of the production unit consists of several layers representing respective control processes from the operational up to the strategic level. For maintaining continuous production and optimization of the production unit performance, both the geographical (location of resources, the distance between factories) as well as economic (market structures, competition) context is important. Attention is focused primarily on the formal description of multi-plant production model with autonomous control with facilities situated in distributed geographical locations.

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

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Premm, M., Kirn, S.: A Multiagent systems perspective on industry 4.0 supply networks. In: Müller, J.P., Ketter, W., Kaminka, G., Wagner, G., Bulling, N. (eds.) MATES 2015. LNCS, vol. 9433, pp. 101–118. Springer, Cham (2015). doi:10.1007/978-3-319-27343-3_6

    Chapter  Google Scholar 

  2. Chaib-Draa, B., Müller, J.P.: Multiagent Based Supply Chain Management. Springer, Cham (2006)

    Book  Google Scholar 

  3. Tesfatsion, L.: Agent-based computational economics: modeling economies as complex adaptive systems. Inf. Sci. 149, 262–268 (2003)

    Article  Google Scholar 

  4. Sadigh, B.L., Ünver, H.Ö., Kılıç, S.E.: Design of a multi agent based virtual enterprise framework for sustainable production. In: Putnik, G.D., Cruz-Cunha, M.M. (eds.) ViNOrg 2011. CCIS, vol. 248, pp. 186–195. Springer, Heidelberg (2012). doi:10.1007/978-3-642-31800-9_20

    Chapter  Google Scholar 

  5. Long, Q.: An agent-based distributed computational experiment framework for virtual supply chain network development. Expert Syst. Appl. 41, 4094–4112 (2014)

    Article  Google Scholar 

  6. Aslam, T., Ng, A.: Agent-based simulation and simulation-based optimisation for supply chain management. In: Wang, L., Koh, S.C.L. (eds.) Enterprise Networks and Logistics for Agile Manufacturing, pp. 227–247. Springer, London (2010)

    Chapter  Google Scholar 

  7. Behdani, B., van Dam, K.H., Lukszo, Z.: Agent-based models of supply chains. In: van Dam, K.H., Nikolic, I., Lukszo, Z. (eds.) Agent-Based Modelling of Socio-Technical Systems, vol. 9, pp. 151–180. Springer, Dordrecht (2013)

    Chapter  Google Scholar 

  8. Brintrup, A.: Behaviour adaptation in the multi-agent, multi-objective and multi-role supply chain. Comput. Ind. 61, 636–645 (2010)

    Article  Google Scholar 

  9. Gehrke, J., Herzog, O., Langer, H., Malaka, R., Porzel, R., Warden, T.: An agent-based approach to autonomous logistic processes. Künstl. Intell. 24, 137–141 (2010)

    Article  Google Scholar 

  10. Greulich, C., Edelkamp, S., Eicke, N.: Cyber-physical multiagent-simulation in production logistics. In: Müller, J.P., Ketter, W., Kaminka, G., Wagner, G., Bulling, N. (eds.) Multiagent System Technologies, pp. 119–136. Springer, Cham (2015)

    Chapter  Google Scholar 

  11. Kappauf, J., Lauterbach, B., Koch, M.: Warehouse Logistics and Inventory Management. Inventory Management, Warehousing, Transportation, and Compliance, pp. 99–213. Springer, Berlin, Heidelberg (2012)

    Chapter  Google Scholar 

  12. Tucnik, P., Nemcova, Z.: Production unit supply management solution in agent-based computational economics model. In: Barbucha, D., Nguyen, N.T., Batubara, J. (eds.) New Trends in Intelligent Information and Database Systems. SCI, vol. 598, pp. 343–352. Springer, Cham (2015). doi:10.1007/978-3-319-16211-9_35

    Chapter  Google Scholar 

  13. Leitão, P.: Agent-based distributed manufacturing control: a state-of-the-art survey. Eng. Appl. Artif. Intell. 22, 979–991 (2009)

    Article  Google Scholar 

  14. Lawrence, J.A., Pasternack, B.A.: Modeling, Spreadsheet Analysis, and Communication for Decision Making. Wiley, New York (2002)

    Google Scholar 

Download references

Acknowledgements

The Financial support of the Specific Research Project “Autonomous Socio-Economics Systems” of FIM UHK is gratefully acknowledged.

Author information

Authors and Affiliations

  1. University of Hradec Kralove, Hradec Kralove, Czech Republic

    Petr Tucnik, Zuzana Nemcova & Tomas Nachazel

Authors
  1. Petr Tucnik
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zuzana Nemcova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tomas Nachazel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tomas Nachazel .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management , Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Tucnik, P., Nemcova, Z., Nachazel, T. (2017). Multiplant Production Design in Agent-Based Artificial Economic System. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67074-4_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67073-7

  • Online ISBN: 978-3-319-67074-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation