Optimizing Transport Logistics Processes with Multiagent Planning and Control / Advanced Studies Mobile Research Center Bremen (PDF)
(Sprache: Englisch)
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...
sofort als Download lieferbar
eBook (pdf)
54.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Optimizing Transport Logistics Processes with Multiagent Planning and Control / Advanced Studies Mobile Research Center Bremen (PDF)“
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.
Autoren-Porträt von 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.
Bibliographische Angaben
- Autor: Max Gath
- 2016, 1st ed. 2016, 279 Seiten, Englisch
- Verlag: Vieweg+Teubner Verlag
- ISBN-10: 3658140038
- ISBN-13: 9783658140038
- Erscheinungsdatum: 11.07.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 13 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Optimizing Transport Logistics Processes with Multiagent Planning and Control / Advanced Studies Mobile Research Center Bremen"
Schreiben Sie einen Kommentar zu "Optimizing Transport Logistics Processes with Multiagent Planning and Control / Advanced Studies Mobile Research Center Bremen".
Kommentar verfassen