Skip to main content

Decentralisation and Interaction Efficiency in Cooperating Autonomous Logistics Processes

  • Conference paper
  • First Online:
Dynamics in Logistics
  • 1141 Accesses

Abstract

The efficiency of conventional centralised control in logistics is limited due to the complexity, the dynamics, and the distribution of logistics processes. The paradigm of autonomous logistics aims at overcoming these limitations by delegating decision-making to local logistics entities such as packages or containers. Represented by software agents, these entities must cooperate with each other to succeed in their logistics objectives. This paper introduces two interaction protocols for team formation of logistics entities. Which of them is adequate depends on the concrete application at hand. This decision is closely related with the limitations of autonomous logistics. One protocol aims at decreasing the communication effort, i.e., increasing the interaction efficiency. The other one aims at increasing the degree of decentralisation. This paper contributes a thorough investigation that supports system developers in choosing the right protocol for their demands.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  • F. Bellifemine, G. Caire, and D. Greenwood. Developing Multi-Agent Systems with JADE. John Wiley & Sons, Chichester, UK, 2007.

    Google Scholar 

  • K. Fischer, M. Schillo, and J. H. Siekmann. Holonic Multiagent Systems: A Foundation for the Organisation of Multiagent Systems. In HoloMAS 2003, pages 71–80, Prague, Czech Republic, 2003. Springer-Verlag.

    Google Scholar 

  • W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan. Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In HICSS 2000, volume 8, pages 8020–8029, 2000.

    Google Scholar 

  • M. Hülsmann and K. Windt, editors. Understanding Autonomous Cooperation and Control in Logistics. Springer-Verlag, Heidelberg, Germany, 2007.

    Google Scholar 

  • J. Odell, H. Van Dyke Parunak, and B. Bauer. Representing Agent Interaction Protocols in UML. In AOSE 2000, pages 121–140, Limerick, Ireland, 2000. Springer-Verlag.

    Google Scholar 

  • E. Ogston and S. Vassiliadis. Matchmaking Among Minimal Agents Without a Facilitator. In Agents 2001, pages 608–615, Montreal, Canada, 2001. ACM Press.

    Google Scholar 

  • J. S. Rosenschein and G. Zlotkin. Rules of Encounter: Designing Conventions for Automated Negotiation Among Computers. MIT Press, Cambridge, MA, USA, 1994.

    Google Scholar 

  • T. W. Sandholm. Distributed Rational Decision Making. In G. Weiss, editor, Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence, pages 201–258. MIT Press, Cambridge, MA, USA, 1999.

    Google Scholar 

  • A. Schuldt, J. D. Gehrke, and S.Werner. Designing a Simulation Middleware for FIPA Multiagent Systems. In WI-IAT 2008, pages 109–113, Sydney, Australia, 2008. IEEE Computer Society Press.

    Google Scholar 

  • A. Schuldt and S. Werner. Towards Autonomous Logistics: Conceptual, Spatial, and Temporal Criteria for Container Cooperation. In LDIC 2007, pages 311–319, Bremen, Germany, 2007. Springer-Verlag.

    Google Scholar 

  • R. G. Smith. The Contract Net: A Formalism for the Control of Distributed Problem Solving. In IJCAI 1977, page 472, Cambridge, MA, USA, 1977. William Kaufmann.

    Google Scholar 

  • M. Wooldridge and N. R. Jennings. The Cooperative Problem Solving Process. Journal of Logic & Computation, 9(4):563–592, 1999.

    Google Scholar 

Download references

Acknowledgments

This research is funded by the German Research Foundation (DFG) within the Collaborative Research Centre 637 “Autonomous Cooperating Logistic Processes: A Paradigm Shift and its Limitations” (SFB 637) at the University of Bremen, Germany.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arne Schuldt .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer -Verlag Berlin Heidelberg

About this paper

Cite this paper

Schuldt, A. (2011). Decentralisation and Interaction Efficiency in Cooperating Autonomous Logistics Processes. In: Kreowski, HJ., Scholz-Reiter, B., Thoben, KD. (eds) Dynamics in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11996-5_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-11996-5_24

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11995-8

  • Online ISBN: 978-3-642-11996-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics