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Multiagent Coordination Enabling Autonomous Logistics

  • Book
  • © 2011

Overview

Authors:
  1. Arne Schuldt

    1. , Technologie-Zentrum Informatik, Universität Bremen, Bremen, Germany

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  • Comprehensive overview on multiagent technology and autonomous logistics

  • Detailed description, with numerous illustrations

  • Based on a real-world logistics processes demonstrating the practical impact

  • Authored by the winner of the Science Award for Logistics 2010 of the German Logistics Association (BVL)

  • Includes supplementary material: sn.pub/extras

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Logistics Requirements

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Arne Schuldt
      Pages 3-10

    3. Supply Network Management

      • Arne Schuldt
      Pages 11-36

    4. Autonomous Control in Logistics

      • Arne Schuldt
      Pages 37-69

  3. Multiagent-Based Approach

    1. Front Matter

      Pages 71-71
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    2. Agent Technology

      • Arne Schuldt
      Pages 73-103

    3. Potential for Cooperation in Autonomous Logistics

      • Arne Schuldt
      Pages 105-128

    4. Team Formation in Autonomous Logistics

      • Arne Schuldt
      Pages 129-150

    5. Team Action in Autonomous Logistics

      • Arne Schuldt
      Pages 151-174

  4. Application and Evaluation

    1. Front Matter

      Pages 175-175
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    2. Implementing Autonomous Logistics

      • Arne Schuldt
      Pages 177-194

    3. A Case Study in Container Logistics

      • Arne Schuldt
      Pages 195-222

    4. Transition to Autonomous Logistics

      • Arne Schuldt
      Pages 223-260

    5. Conclusion and Outlook

      • Arne Schuldt
      Pages 261-268

  5. Back Matter

    Pages 269-272
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Keywords

About this book

This book describes the implementation of autonomous control with multiagent technology. Therewith, it tackles the challenges of supply network management caused by the complexity, the dynamics, and the distribution of logistics processes. The paradigm of autonomous logistics reduces the computational complexity and copes with the dynamics locally by delegating process control to the participating objects. As an example, shipping containers may themselves plan and schedule their way through logistics networks in accordance with objectives imposed by their owners. The technologies enabling autonomous logistics are thoroughly described and reviewed. The presented solution has been used in a realistic simulation of real-world container logistics processes. The validation shows that autonomous control is feasible and that it outperforms the previous centralised dispatching approach by significantly increasing the resource utilisation efficiency. Moreover, the multiagent system relieves human dispatchers from dealing with standard cases, giving them more time to solve exceptional cases appropriately.

Authors and Affiliations

  • , Technologie-Zentrum Informatik, Universität Bremen, Bremen, Germany

    Arne Schuldt

About the author

Dr. Arne Schuldt received his diploma in Computer Science from Universität Bremen in 2006. He then joined the Artificial Intelligence research group of Prof. Otthein Herzog at Universität Bremen. Up to now, he has more than 20 publications on autonomous control in logistics, multiagent-based simulation, and qualitative spatial reasoning. Since 2008 he gives lectures on information systems in logistics. In 2010 he received his PhD from Universität Bremen with summa cum laude. His PhD thesis has been awarded with the Science Award for Logistics of the German Logistics Association (BVL) in 2010.

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