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Optimizing Transport Logistics Processes with Multiagent Planning and Control: Advanced Studies Mobile Research Center Bremen

Autor Max Gath
en Limba Engleză Paperback – 22 sep 2016
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. 
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Specificații

ISBN-13: 9783658140021
ISBN-10: 365814002X
Pagini: 279
Ilustrații: XXIII, 279 p. 59 illus.
Dimensiuni: 148 x 210 x 16 mm
Greutate: 0.36 kg
Ediția:1st ed. 2016
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Seria Advanced Studies Mobile Research Center Bremen

Locul publicării:Wiesbaden, Germany

Cuprins

Dispatching Problems in Transport Logistics.- Multiagent-Based Transport Planning and Control.- Case Studies in Groupage Traffic and Courier, Express, and Parcel Services.

Notă biografică

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. 

Textul de pe ultima copertă

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.

Contents
  • Dispatching Problems in Transport Logistics
  • Multiagent-Based Transport Planning and Control
  • Case Studies in Groupage Traffic and Courier, Express,and Parcel Services
Target Groups
Researchers and practitioners in the fields of production and logistics as well as information and communication technology 

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.


Caracteristici

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