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Optimizing Transport Logistics Processes with Multiagent Planning and Control

  • Book
  • © 2016

Overview

Authors:
  1. Max Gath

    1. Fachbereich 3 (Mathematik & Informatik), Universität Bremen Fachbereich 3 (Mathematik & Informatik), Bremen, Germany

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  • Publication in the field of technical sciences
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advanced Studies Mobile Research Center Bremen (ASMRC)

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-XXIII
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  2. Introduction

    • Max Gath
    Pages 1-13

  3. Dispatching Problems in Transport Logistics

    • Max Gath
    Pages 15-34

  4. Multiagent-Based Transport Planning and Control

    • Max Gath
    Pages 35-78

  5. The dispAgent Approach

    • Max Gath
    Pages 79-139

  6. Benchmark Evaluation

    • Max Gath
    Pages 141-166

  7. A Case Study: Groupage Traffic

    • Max Gath
    Pages 167-199

  8. A Case Study: Courier, Express, and Parcel Services

    • Max Gath
    Pages 201-220

  9. Conclusion and Outlook

    • Max Gath
    Pages 221-228

  10. Back Matter

    Pages 229-279
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Keywords

About this book

Max Gath presents a multiagent system for the optimization of transport logistics in highly complex and dynamic domains. The described solution dynamically optimizes processes and provides a high flexibility, scalability, robustness, and adaptability to individual customer demands. The experimental evaluation points out the effectiveness and efficiency by using the example of commonly applied benchmarks as well as two case studies in groupage traffic and in courier, express, and parcel services with same-day deliveries. Both case studies were performed with leading transport companies in Germany. The results demonstrate that the multiagent-based solution satisfies domain-specific requirements and exploits high optimization potential in real-world processes. 

Authors and Affiliations

  • Fachbereich 3 (Mathematik & Informatik), Universität Bremen Fachbereich 3 (Mathematik & Informatik), Bremen, Germany

    Max Gath

About the author

Dr. Max Gath completed his doctoral degree at the Artificial Intelligence research group of TZI (Center for Communication and Information Technology), University of Bremen, Germany. 

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