Skip to main content

Collaborative Transportation Planning in Complex Adaptive Logistics Systems: A Complexity Science-Based Analysis of Decision-Making Problems of “Groupage Systems”

  • Conference paper
Complex Sciences (Complex 2009)

Abstract

This paper aims to analyze decision-making problems in Groupage Systems from a complexity-science perspective. Therefore, the idea of Complex Adaptive Logistics Systems (CALS) and its inherent organization principle of autonomous co-operation and control will be presented. Furthermore, Groupage systems as a way to implement collaborative transportation planning will be introduced and, in combination with the idea of CALS, resulting decisionmaking problems for so-called ‘smart parts’ in logistics systems will be deduced.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hülsmann, M., Berry, A.: Strategic management dilemmas: Its necessity in a world of diversity and change. In: Lundin, R., et al. (eds.) Proceedings of the SAM/IFSAM VIIth World Congress on Management in a World of Diversity and Change, 18 pages. Göteborg, Sweden (2004)

    Google Scholar 

  2. Surana, A., Kumara, S., Greaves, M., Raghavan, U.N.: Supply-chain networks: a complex adaptive systems perspective. International Journal of Production Research 43(20), 4235–4265 (2005)

    Article  Google Scholar 

  3. Choi, T.Y., Dooley, K.J., Rungtusanatham, M.: Supply networks and complex adaptive systems: control versus emergence. Journal of Operations Management 19(3), 351–366 (2001)

    Article  Google Scholar 

  4. Wycisk, C., McKelvey, B., Hülsmann, M.: ‘Smart parts’ logistics systems as complex adaptive systems. International Journal of Physical Distribution and Logistics Management 38(2), 108–125 (2008)

    Article  Google Scholar 

  5. Hülsmann, M., Grapp, J.: Autonomous Cooperation in International-Supply-Networks – The Need for a Shift from Centralized Planning to Decentralized Decision Making in Logistic Processes. In: Pawar, K.S. et al. (eds.) Proceedings of the 10th International Symposium on Logistics (10th ISL). Loughborough, United Kingdom, pp. 243–249 (2005)

    Google Scholar 

  6. Hülsmann, M., Scholz-Reiter, B., Freitag, M., Wycisk, C., De Beer, C.: Autonomous Cooperation as a Method to cope with Complexity and Dynamics? – A Simulation based Analyses and Measurement Concept Approach. In: Bar-Yam, Y. (ed.) Proceedings of the International Conference on Complex Systems (ICCS 2006), Boston, MA, USA, web-publication, 8 pages (2006)

    Google Scholar 

  7. Windt, K., Hülsmann, M.: Changing Paradigms in Logistics. In: Hülsmann, M., Katja, W. (eds.) Understanding Autonomous Cooperation & Control: The Impact of Autonomy on Management, Information, Communication, and Material Flow, pp. 1–12. Springer, Berlin (2007)

    Chapter  Google Scholar 

  8. Kopfer, H., Pankratz, G.: Das Groupage-Problem kooperierender Verkehrsträger. In: Kall, P., Lüthi, H.-J. (eds.) Proceedings of OR 1998. Springer, Heidelberg (1999)

    Google Scholar 

  9. Mason, R.B.: The external environment’s effect on management and strategy - a complexity theory approach. Management Decision 45(1), 10–28 (2007)

    Article  Google Scholar 

  10. Lambert, D.M., Cooper, M.C., Pagh, J.D.: Supply Chain Management: Implementation Issues and Research Opportunities. The International Journal of Logistics Management 9(2), 1–19 (1998)

    Article  Google Scholar 

  11. Holland, J.H.: The global economy as an adaptive system. In: Anderson, P.W., Arrow, K.J., Pines, D. (eds.) The Economy as an Evolving Complex System, vol. V, pp. 117–124. Addison-Wesley, Reading (1988)

    Google Scholar 

  12. Holland, J.H.: Complex Adaptive Systems and Spontaneous Emergence. In: Quadrio Curzio, A., Fortis, M. (eds.) Complexity and Industrial Clusters, pp. 25–34. Physica-Verl., Heidelberg (2002)

    Chapter  Google Scholar 

  13. Kauffman, S.A.: The Origins of Order: Self-Organization and Selection in Evolution. Oxford Univ. Press, New York (1993)

    Google Scholar 

  14. Choi, T.Y., Dooley, K.J., Rungtusanatham, M.: Supply networks and complex adaptive systems: control versus emergence. Journal of Operations Management 19(3), 351–366 (2001)

    Article  Google Scholar 

  15. Spekman, R.E., Sweeney, P.J.: RFID: from concept to implementation. International Journal of Physical Distribution & Logistics Management 36(10), 736–754 (2006)

    Article  Google Scholar 

  16. Kappler, E.: Autonomie. In: Frese, E. (ed.) Handwörterbuch der Organisation, 3rd edn., pp. 272–280. Poeschel, Stuttgart (1992)

    Google Scholar 

  17. Langton, C.G.: Artificial Life. Addison-Wesley, Reading (1989)

    MATH  Google Scholar 

  18. Lewin, R.: Complexity. University of Chicago Press, Chicago (1992)

    Google Scholar 

  19. Bérnard, H.: Les Tourbillons Cellulaires dans une Nappe Liquide Transportant de la Chaleur par Convection en Régime Permanent. Annales de Chimie et de Physique 23, 62–144 (1901)

    Google Scholar 

  20. Prigogine, I.: An Introduction to Thermodynamics of Irreversible Processes. Thomas, Springfield (1955)

    Google Scholar 

  21. Hülsmann, M., Wycisk, C.: Unlocking Organizations through Autonomous Cooperation - Applied and Evaluated Principles of Self-Organization in Business Structures. In: Proceedings of the 21st EGOS Colloquium, Berlin, webpublication, 25 pages (2005)

    Google Scholar 

  22. von Foerster, H.: Cybernetics of Cybernetics. In: Krippendorff, K. (ed.) Communication and Control in Society, pp. 5–8. Gordon and Breach Science Publishers, New York (1979)

    Google Scholar 

  23. Glansdorff, P., Prigogine, I.: Thermodynamic theory of structure, stability and fluctuations. Wiley, New York (1971)

    MATH  Google Scholar 

  24. Haken, H.: Synergetics: cooperative phenomena in multi-component systems. In: Symposium on Synergetics, 30 April - 6 May 1972. Schloß Elmau, Stuttgart (1973)

    Chapter  Google Scholar 

  25. Maturana, H.R., Varela, F.: Autopoiesis and cognition: the realization of living. Reidel, Dordrecht (1980)

    Book  Google Scholar 

  26. Lorenz, E.N.: Deterministic Nonperiodic Flow. Journal of the Atmospheric Sciences 20, 130–141 (1963)

    Article  Google Scholar 

  27. Mandelbrot, B.: The Fractal Geometry of Nature. Freeman, New York (1977)

    MATH  Google Scholar 

  28. Bick, H.: Population dynamics of Protozoa associated with the decay of organic materials in fresh water. American Zoologist 13(1), 149–160 (1973)

    Article  Google Scholar 

  29. Gomber, P., Schmidt, C., Weinhardt, C.: Elektronische Märkte für die dezentrale Transportplanung. Wirtschaftsinformatik 39, 137–145 (1997)

    Google Scholar 

  30. Sandholm, T.: An Implementation of the Contract Net Protocol Based on Marginal Cost Calculations. In: Proceedings of the 11th National Conference on Artificial Intelligence (AAAI-93), Washington DC, pp. 256–263 (1993)

    Google Scholar 

  31. Fischer, K., Müller, J.P., Pischel, M., Schier, D.: A Model for Cooperative Transportation Scheduling. In: Lesser, V. (ed.) Proceedings of the First International Conference on Multiagent Systems (ICMAS 1995), pp. 109–116. MIT Press, Cambridge (1995)

    Google Scholar 

  32. Utecht, T.: Kooperatives Problemlösen in Workstationclustern. Verlag für Wissenschaft und Forschung, Berlin (1997)

    Google Scholar 

  33. Minner, S.: Modellgestützte Ermittlung und Verteilung von Kooperationsvorteilen in der Logstik. In: Spengler, T., Voss, S., Kopfer, H. (eds.) Logistik Management. Prozesse, Systeme, Ausbildung, pp. 111–132. Physika-Verlag, Heidelberg (2004)

    Google Scholar 

  34. Krajewska, M.A., Kopfer, H.: Collaborating freight forwarding enterprises. Request allocation and profit sharing. OR Spectrum 28, 301–317 (2006)

    Article  MATH  Google Scholar 

  35. Tapscott, D.: Creating value in the network economy. Harvard Business School Publication, Boston (1999)

    Google Scholar 

  36. Schreyögg, G., Sydow, J., Koch, J.: Organisatorische Pfade – Von der Pfadabhängigkeit zur Pfadkreation? In: Schreyögg, G., Sydow, J. (eds.) Strategische Prozesse und Pfade, Managementforschung 13, Gabler, Wiesbaden (2003)

    Google Scholar 

  37. Simon, H.A.: Theories of Bounded Rationality. In: McGuire, C.B., Radner, R. (eds.) Decision and Organization, pp. 161–172. North-Holland Publ., Amsterdam (1972)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Hülsmann, M., Kopfer, H., Cordes, P., Bloos, M. (2009). Collaborative Transportation Planning in Complex Adaptive Logistics Systems: A Complexity Science-Based Analysis of Decision-Making Problems of “Groupage Systems”. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02466-5_116

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02466-5_116

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02465-8

  • Online ISBN: 978-3-642-02466-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics