Optimizing Transport Logistics Processes with Multiagent Planning and Control

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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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. 

• Autonomous Logistic Processes
• Multiagent Systems
• Transport Logistics
• Nested Rollout Policy Adaptation
• Artificial Intelligence

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

  Max Gath

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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